CN107347041B

CN107347041B - Sequence-based channel estimation method and device

Info

Publication number: CN107347041B
Application number: CN201610812316.XA
Authority: CN
Inventors: 颜敏; 陈庆春; 原頔
Original assignee: Huawei Technologies Co Ltd
Current assignee: Honor Device Co Ltd
Priority date: 2016-05-05
Filing date: 2016-09-07
Publication date: 2020-03-20
Anticipated expiration: 2036-09-07
Also published as: CN107347041A

Abstract

The embodiment of the invention provides a method based onThe method and the device for estimating the channel of the sequence comprise the following steps: sending end generates N_TA plurality of channel estimation training sequence packets, wherein each of the channel estimation training sequence packets comprises: a channel estimation sequence, a sequence prefix part and a sequence suffix part, wherein the length of each channel estimation training sequence is N_CE，N_CE＝2MZ，

Z is the zero correlation side lobe length of the channel estimation training sequence, M is the number of sequences with the zero correlation side lobe length of Z, T_mFor maximum delay spread of the channel to be estimated, R_sFor symbol rate, M ≧ N_T，N_TIs a positive integer greater than 1; n of the transmitting end_TTransmitting the N to a receiving end by a root transmitting antenna_TAnd each transmitting antenna transmits a corresponding channel estimation training sequence packet. The length of the channel estimation training sequence is only required to meet the conditions, and the channel estimation training sequence is not limited by time delay expansion and the number of antennas and the number of channels.

Description

Sequence-based channel estimation method and device

Technical Field

The present invention relates to wireless communication technologies, and in particular, to a sequence-based channel estimation method and apparatus.

Background

In the current channel estimation technology, channel estimation based on training sequences is mainly adopted. In the 802.11ad standard of Long Term Evolution (LTE), in order to simplify the estimation complexity of a Single Input Single Output (SISO) channel, a channel estimation scheme based on Golay complementary sequences is used, that is, a channel can be estimated by simple correlation operation by using the good autocorrelation complementary characteristics of the Golay complementary sequences.

Specifically, in the existing IEEE 802.11ad standard, the channel estimation training sequence is composed of 8 Golay complementary sequences with a length of 128 and cyclic prefixes and cyclic suffixes placed before and after the Golay complementary sequences, so as to satisfy the multipath channel estimation requirement in a 72ns delay spread range.

However, in order to avoid the adverse effect of symbol interference on channel estimation, the length of the prefix and suffix symbols in the channel estimation training sequence is greater than or equal to the maximum delay spread of the channel, and the scheme in the existing IEEE 802.11ad standard is adopted, and the length 128 of the cyclic prefix and suffix symbols can only satisfy the channel estimation requirement under the delay spread of 72 nanoseconds (ns) (128 × 0.57ns — 72ns, where 0.57 is single carrier chip time (SC chip time), single carrier chip time ═ 1/Fc, Fc is single carrier chip transmission rate, and Fc ═ 1760MHz), and cannot satisfy the larger delay requirement.

Disclosure of Invention

The embodiment of the invention provides a sequence-based channel estimation method and a sequence-based channel estimation device, which are used for solving the problem that the prior art cannot meet the requirement of larger time delay.

A first aspect of an embodiment of the present invention provides a sequence-based channel estimation method, including:

sending end generates N_TA plurality of channel estimation training sequence packets, wherein each of the channel estimation training sequence packets comprises: a channel estimation sequence, a sequence prefix part and a sequence suffix part, wherein the length of each channel estimation training sequence is N_CE，N_CE＝2MZ，

Z is the zero correlation side lobe length of the channel estimation training sequence, M is the number of sequences with the zero correlation side lobe length of Z, T_mFor the maximum delay spread of the channel to be estimated,R_sfor symbol rate, M ≧ N_T，N_TIs a positive integer greater than 1, and the length of the sequence prefix part and the length of the sequence suffix part are both N_PThe sequence prefix part is N after the channel estimation sequence in the same channel estimation training sequence packet_PThe position is the same, the sequence postfix part is N before the channel estimation sequence in the same channel estimation training sequence packet_PIn the same position, N_P＝Z；

N of the transmitting end_TTransmitting the N to a receiving end by a root transmitting antenna_TAnd each transmitting antenna transmits a corresponding channel estimation training sequence packet.

Optionally, the sending end generates N_TA channel estimation training sequence packet comprising:

the transmitting end adopts a row in a sequence matrix as a channel estimation training sequence, wherein the sequence matrix is obtained by adopting a base sequence set in an iteration mode, the sequence matrix is an M multiplied by M matrix, and each row of the base sequence set comprises M₀A binary sequence, and the sequences of any two rows are mutually orthogonal and complementary, M₀Is a positive integer greater than or equal to 2;

the sending end is according to N_TGenerating said N for each of said channel estimation training sequences_TAnd a channel estimation training sequence packet.

Optionally, the set of base sequences

Wherein the content of the first and second substances,

is of length L₀Wherein MZ is 4ⁿL₀M₀，1≤i≤M₀And i is an integer, k is not less than 1 and not more than M₀And k is an integer.

Optionally, the T_mGreater than or equal to 72 nanoseconds. Of course, T_mAnd may be less than 72 nanoseconds.

A second aspect of the embodiments of the present invention provides a sequence-based channel estimation apparatus, including:

a generation module for generating N_TA plurality of channel estimation training sequence packets, wherein each of the channel estimation training sequence packets comprises: a channel estimation sequence, a sequence prefix part and a sequence suffix part, wherein the length of each channel estimation training sequence is N_CE，N_CE＝2MZ，

Z is the zero correlation side lobe length of the channel estimation training sequence, M is the number of sequences with the zero correlation side lobe length of Z, T_mFor maximum delay spread of the channel to be estimated, R_sFor symbol rate, M ≧ N_T，N_TIs a positive integer greater than 1, and the length of the sequence prefix part and the length of the sequence suffix part are both N_PThe sequence prefix part is N after the channel estimation sequence in the same channel estimation training sequence packet_PThe position is the same, the sequence postfix part is N before the channel estimation sequence in the same channel estimation training sequence packet_PIn the same position, N_P＝Z；

A transmitting module for passing N_TTransmitting the N to a receiving end by a root transmitting antenna_TAnd each transmitting antenna transmits a corresponding channel estimation training sequence packet.

Optionally, the generating module is specifically configured to use a row of a sequence matrix as a channel estimation training sequence, where the sequence matrix is obtained by using a base sequence set in an iterative manner, the sequence matrix is an mxm matrix, and each row of the base sequence set includes M₀A binary sequence, and the sequences of any two rows are mutually orthogonal and complementary, M₀Is a positive integer greater than or equal to 2; according to N_TGenerating said N for each of said channel estimation training sequences_TAnd a channel estimation training sequence packet.

Further, the set of base sequences

Wherein the content of the first and second substances,

Optionally, the T_mGreater than or equal to 72 nanoseconds.

A third aspect of the embodiments of the present invention provides a sequence-based channel estimation apparatus, including: memory, processor and N_TA root transmit antenna;

the memory is used for storing program instructions, and the processor is used for calling the program instructions in the memory to execute the following method:

generating N_TA plurality of channel estimation training sequence packets, wherein each of the channel estimation training sequence packets comprises: a channel estimation sequence, a sequence prefix part and a sequence suffix part, wherein the length of each channel estimation training sequence is N_CE，N_CE＝2MZ，

By said N_TTransmitting the N to a receiving end by a root transmitting antenna_TAnd each transmitting antenna transmits a corresponding channel estimation training sequence packet.

Optionally, the processor is specifically configured to use a row of a sequence matrix as a channel estimation training sequence, where the sequence matrix is obtained by using a base sequence set in an iterative manner, the sequence matrix is an mxm matrix, and each row of the base sequence set includes M₀A binary sequence, and the sequences of any two rows are mutually orthogonal and complementary, M₀Is a positive integer greater than or equal to 2; according to N_TGenerating said N for each of said channel estimation training sequences_TAnd a channel estimation training sequence packet.

Further, the set of base sequences

Wherein the content of the first and second substances,

Optionally, the T_mGreater than or equal to 72 nanoseconds.

In the sequence-based channel estimation method and device provided by the embodiment of the invention, a sending end generates N_TEach channel estimates a training sequence packet, and then N of the transmitting end_TTransmitting the N to a receiving end by a transmitting antenna_TA channel estimation training sequence packet, the receiving end receives the N_TAfter each channel estimation training sequence packet, each receiving antenna of the receiving end is according to the N_TPerforming channel estimation by using the channel estimation training sequence packet to obtain N_TX 1 link channel gain, wherein each of said channel estimation training sequences has a length of N_CE， N_CE＝2MZ，

Z is the length of zero correlation side lobe of the channel estimation training sequence, M is the number of sequences with the length of zero correlation side lobe Z, T_mFor maximum delay spread of the channel to be estimated, R_sFor symbol rate, M ≧ N_T，N_TIs a positive integer greater than 1, the length of the sequence prefix portion and the length of the sequence suffix portion are both N_P，N_PThe length of the channel estimation training sequence is only required to meet the above conditions, and is not limited by delay spread any more, so that the method can support larger delay requirements, is not limited by the number of antennas and the number of channels, and can support not only single antenna and single channel, but also multiple antennas and multiple channels.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.

Fig. 1 is a schematic view of an application scenario of the sequence-based channel estimation method provided in the present invention;

FIG. 2 is a flowchart illustrating a first embodiment of a sequence-based channel estimation method according to the present invention;

fig. 3 is a schematic diagram of a channel estimation training sequence in a first embodiment of the sequence-based channel estimation method provided in the present invention;

fig. 4 is a schematic diagram of a channel estimation training sequence in a second embodiment of the sequence-based channel estimation method provided in the present invention;

fig. 5 is a schematic diagram of a channel estimation training sequence in a third embodiment of the sequence-based channel estimation method provided in the present invention;

fig. 6 is a schematic diagram of a channel estimation training sequence in a fourth embodiment of the sequence-based channel estimation method provided in the present invention;

fig. 7 is a schematic diagram of a channel estimation training sequence in a fifth embodiment of the sequence-based channel estimation method provided in the present invention;

fig. 8 is a schematic structural diagram of a first embodiment of a sequence-based channel estimation apparatus according to the present invention;

fig. 9 is a schematic structural diagram of a second embodiment of the sequence-based channel estimation apparatus according to the present invention;

fig. 10 is a schematic diagram of a packet structure transmitted between a transmitting end and a receiving end in the embodiment of the present invention.

Detailed Description

In order to avoid the adverse effect of intersymbol interference on channel estimation, the length of the prefix and suffix symbols is greater than or equal to the maximum delay spread of the channel. In order to meet the requirement of larger time delay, the channel estimation method provided by the embodiment of the invention adopts a new channel estimation training sequence which is not limited by time delay expansion any more. In addition, the embodiment of the invention is not limited by a single antenna and a single channel, and can support not only a single antenna and a single channel, but also multiple antennas, multiple channels and other scenes.

Fig. 1 is a schematic view of an application scenario of the sequence-based channel estimation method provided by the present invention, and the embodiment of the present invention may be applied to channel estimation under MIMO multi-channel conditions, and may also be applied to channel estimation under single-channel conditions.

In the MIMO system shown in fig. 1, the MIMO system includes a transmitting end and a receiving end, and taking the example that the transmitting end and the receiving end respectively include 2 antennas, referring to fig. 1, the transmitting end includes: the receiving end comprises a sending antenna M-1T and a sending antenna M-2T: a receive antenna M-1R and a receive antenna M-2R.

Four channels coexist between the 2 transmitting antennas and the 2 receiving antennas, namely 1-1 (a channel between M-1T and M-1R), 1-2 (a channel between M-1T and M-2R), 2-1 (a channel between M-2T and M-1R) and 2-2 (a channel between M-2T and M-2R).

In an MIMO system, a target signal obtained after a signal sent by one sending antenna is transmitted through a channel can be received by all receiving antennas; for example, M-1T transmits a source signal, a target signal obtained after the source signal is transmitted through a 1-1 channel can be received by M-1R, and a target signal obtained after the source signal is transmitted through a 1-2 channel can be received by M-2R.

Fig. 2 is a schematic flowchart of a first embodiment of a sequence-based channel estimation method provided by the present invention, and fig. 3 is a schematic diagram of a training sequence for channel estimation in the first embodiment of the sequence-based channel estimation method provided by the present invention.

As shown in fig. 2, the method includes:

s101, a sending end generates N_TAnd a channel estimation training sequence packet.

Specifically, the transmitting end has N_TAnd each antenna transmits a channel estimation training sequence packet.

Referring to fig. 3, each channel estimation training sequence packet includes: a channel estimation sequence, a sequence prefix portion, and a sequence suffix portion.

Each of the above-mentioned channel estimation training sequences has a length of N_CE，N_CE＝2MZ，

Z is the zero correlation side lobe length of the channel estimation training sequence, M is the number of sequences with the zero correlation side lobe length of Z, T_mFor maximum delay spread of the channel to be estimated, R_sFor symbol rate, M ≧ N_T，N_TIs a positive integer greater than 1, the length of the sequence prefix portion and the length of the sequence suffix portion are both N_P，N_P＝Z。

In the same channel estimation training sequence packet, the sequence prefix part and the channel estimation sequence are followed by N_PBit identity, sequence suffix part and channel estimation sequence front N_PThe bits are the same, wherein the prefix part is mainly used for avoiding intersymbol interference, and the suffix part is used for performing periodic autocorrelation and periodic cross correlation during channel estimation.

The channel estimation training sequence can meet the requirements of various time delay expansion and single antenna and multi-antenna.

Wherein the maximum delay spread T of the channel to be estimated_mAnd may be greater than or equal to 72 nanoseconds (ns), or may be less than 72ns, although not limited thereto.

S102, N of sending end_TTransmitting the N to a receiving end by a transmitting antenna_TA channel estimation training sequence packet, wherein each transmitting antenna transmits a corresponding channel estimation training sequenceAnd (5) listing packages.

S103, the receiving end receives the N sent by the sending end_TAnd a channel estimation training sequence packet.

Specifically, assume that the receiving end has N_RA plurality of receiving antennas, each receiving antenna receiving N_TA channel estimation training sequence packet, N_RAlso a positive integer greater than or equal to 1.

S104, each receiving antenna of the receiving end is according to the N_TPerforming channel estimation by using the channel estimation training sequence packet to obtain N_TX 1 link channel gain.

Optionally, each receiving antenna of the receiving end is receiving the N_TAfter each channel estimation training sequence packet, respectively passing through N_TN corresponding to each channel estimation training sequence_TPerforming correlation operation by using a correlator to obtain N_TX 1 link channel gain, i.e. channel estimation result.

Further, N_RThe complete channel estimation result of the root receiving antenna is N_R×N_TAnd (5) channel estimation results.

In this embodiment, the sending end generates N_TEach channel estimates a training sequence packet, and then N of the transmitting end_TTransmitting the N to a receiving end by a transmitting antenna_TA channel estimation training sequence packet, the receiving end receives the N_TAfter each channel estimation training sequence packet, each receiving antenna of the receiving end is according to the N_TPerforming channel estimation by using the channel estimation training sequence packet to obtain N_TX 1 link channel gain, wherein each of said channel estimation training sequences has a length of N_CE，N_CE＝2MZ，

Z is the length of zero correlation side lobe of the channel estimation training sequence, M is the number of sequences with the length of zero correlation side lobe Z, T_mFor maximum delay spread of the channel to be estimated, R_sFor symbol rate, M ≧ N_T，N_TIs a positive integer greater than 1, the length of the sequence prefix portion and the length of the sequence suffix portion are bothN_P，N_PThe length of the channel estimation training sequence is only required to meet the above conditions, and is not limited by delay spread any more, so that the method can support larger delay requirements, is not limited by the number of antennas and the number of channels, and can support not only single antenna and single channel, but also multiple antennas and multiple channels.

Alternatively, the above T_mMay be greater than or equal to 72ns to meet the large delay requirement of greater than or equal to 72 ns. But not limited to this, the requirement of small delay can also be supported.

Further, the sending end generates N_TThe channel estimation training sequence packet may be: the transmitting end adopts a row in the sequence matrix as a channel estimation training sequence, and then the transmitting end estimates the training sequence according to N_TA training sequence of channel estimation to generate the above N_TAnd a channel estimation training sequence packet.

The sequence matrix is obtained by iteration of a base sequence set. The sequence matrix is an M multiplied by M matrix, and each row of the base sequence set comprises M₀A binary sequence, and the sequences of any two rows are mutually orthogonal and complementary, M₀Is a positive integer greater than or equal to 2.

In particular, the base sequence set Δ⁽⁰⁾Can be written as:

wherein the content of the first and second substances,

is of length L₀MZ ═ 4, is stored in the binary sequence of (c)ⁿL₀M₀，1≤i≤M₀And i is an integer, k is not less than 1 and not more than M₀And k is an integer.

In the base sequence set, the sequences of any two rows satisfy the following characteristics:

wherein the sequences of any one row satisfy the complementary property, i.e.

Wherein the content of the first and second substances,

in the above embodiment, the sequence matrix is obtained by iteration using a base sequence, and specifically, the iteration method includes:

constructing the base sequence set as

Where { A, B } denotes the concatenation of matrix A and matrix B into a long sequence according to a front-to-back order, i.e., where { Δ } represents the corresponding sequence elements of the concatenated matrix^(n-1),Δ^(n-1)Denotes that Δ is ordered in front-to-back order^(n-1)And Δ^(n-1)And connecting into a long sequence as the corresponding sequence element of the matrix after the cascade connection.

N represents a generation length of N_CEAccording to the iterative method, the number of generated sequences is 2ⁿM₀The sequence length is MZ, MZ is 4ⁿL₀M₀Wherein n is not less than

0, and is required to satisfy:

further adjust the above-mentioned delta⁽ⁿ⁾Is written into

Wherein each element A_uv(1. ltoreq. u, v. ltoreq. M) has a length Z, through A_l＝(A_l,1,A_l,2,A_l,3…,A_l,M,-A_l,1,A_l,2,A_l,3…,A_l,M) And l is not less than 1 and not more than M⁽ⁿ⁾And unfolding to obtain the sequence matrix with the zero side lobe length of Z, the sequence number of M and the sequence length of 2MZ, and recording as:

each of the above-mentioned signal estimation training sequences may be a row of elements therein, specifically, N_TThe training sequences of the channel estimation are different and are respectively different N in the sequence matrix_TThe elements of a row.

The channel estimation training sequence in the prior art only supports a single-antenna environment, and if the channel estimation training sequence is applied to a multi-antenna environment, the matrix consisting of a plurality of channel estimation training sequences must be subjected to inversion operation.

It should be noted that, in order to make 802.11ay have better compatibility, the embodiment of the present invention designs a channel estimation training sequence applicable to 802.11ay based on 3 pairs of Golay complementary sequences proposed in the 802.11ad standard, specifically, constructs a base sequence set based on Golay complementary sequences, which is certainly not limited to the 802.11ay standard, and the channel estimation training sequence proposed in the embodiment of the present invention has a wider application range. For example, the channel estimation training sequence may include the following cases:

1、Ga128＝[1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 1 -1 -1 1 1 1 -1 -1 1 1 1 1-1 1 -1 1 -1 1 1 -1 -1 -1 1 1 1 1 1 1 1 -1 1 -1 -1 1 1 -1 1 1 -1 -1 1 1 1 1 -1 1 -1 1 -1 1 1 -1 1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 1 -1 -1 1 1 1 -1 -1 1 1 11 -1 1 -1 1 -1 1 1 -1 1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 1 -1 -1 1 -1 -1 1 1 -1-1 -1 -1 1 -1 1 -1 1 -1 -1 1]；

2、Gb128＝[-1 -1 1 1 1 1 1 1 1 -1 1 -1 -1 1 1 -1 -1 -1 1 1 -1 -1 -1 -11 -1 1 -1 1 -1 -1 1 1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 1 -1 -1 1 -1 -1 1 1 -1 -1-1 -1 1 -1 1 -1 1 -1 -1 1 1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 1 -1 -1 1 1 1 -1 -11 1 1 1 -1 1 -1 1 -1 1 1 -1 1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 1 -1 -1 1 -1 -1 11 -1 -1 -1 -1 1 -1 1 -1 1 -1 -1 1]；

3、Ga64＝[-1 -1 1 -1 1 -1 -1 -1 1 1 -1 1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1-1 -1 -1 1 -1 -1 1 1 1 -1 -1 1 -1 1 -1 -1 -1 1 1 -1 1 1 -1 -1 -1 1 1 -1 1 -11 1 1 1 1 -1 1 1 -1 -1 -1]；

4、Gb64＝[1 1 -1 1 -1 1 1 1 -1 -1 1 -1 -1 1 1 1 1 1 -1 1 -1 1 1 1 1 1-1 1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 1 1 -1 1 1 -1 -1 -1 1 1 -1 1 -1 1 1 1 11 -1 1 1 -1 -1 -1]；

5、Ga32＝[1 1 1 1 1 -1 1 -1 -1 -1 1 1 1 -1 -1 1 1 1 -1 -1 1 -1 -1 1 -1-1 -1 -1 1 -1 1 -1]；

6、Gb32＝[-1 -1 -1 -1 -1 1 -1 1 1 1 -1 -1 -1 1 1 -1 1 1 -1 -1 1 -1 -11 -1 -1 -1 -1 1 -1 1 -1]；

however, the above 6 sequences are not limited, and the following sequences may be added:

7、Gc128＝[1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 1 1 -1 -1 1 -1 -1 1 1 -1 1-1 -1 -1 -1 -1 -1 -1 1 1 -1 1 1 -1 1 -1 1 -1 1 1 1 1 -1 -1 1 1 1 -1 -1 1 1 -11 -1 -1 -1 -1 -1 -1 -1 1 1 1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 1 1 -1 -1 1 -1 -11 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 1 1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 1 1 -1 -1 -1 1 1 -1 -1 1 -1 1 1 1 1 1 1 1 -1 -1]；

8、Gd128＝[-1 1 1 -1 1 -1 1 -1 1 1 1 1 -1 -1 1 1 -1 1 1 -1 -1 1 -1 1 11 1 1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 1 1 -1 -1 -1 1 1 -1 -1 1 -1 11 1 1 1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 1 1 -1 -1 1 -1 -1 1 1 -1 1-1 -1 -1 -1 -1 -1 -1 1 1 1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 1 1 -1 -1 -1 1 1 -1-1 1 -1 1 1 1 1 1 1 1 -1 -1]；

9、Gc64＝[-1 -1 -1 1 1 -1 1 1 1 1 1 -1 1 -1 1 1 -1 -1 -1 1 1 -1 1 1 -1-1 -1 1 -1 1 -1 -1 -1 -1 -1 1 1 -1 1 1 1 1 1 -1 1 -1 1 1 1 1 1 -1 -1 1 -1 -11 1 1 -1 1 -1 1 1]；

10、Gd64＝[1 1 1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 1 1 1 -1 -1 1 -1-1 1 1 1 -11 -1 1 1 -1 -1 -1 1 1 -1 1 1 1 1 1 -1 1 -1 1 1 1 1 1 -1 -1 1 -1 -1 1 1 1 -1 1 -1 1 1]；

11、Gc32＝[1 -1 1 -1 1 1 1 1 -1 1 1 -1 1 1 -1 -1 1 -1 -1 1 1 1 -1 -1 -1 1 -1 1 1 1 1 1]；

12、Gd32＝[-1 1 -1 1 -1 -1 -1 -1 1 -1 -1 1 -1 -1 1 1 1 -1 -1 1 1 1 -1-1 -1 1 -1 1 1 1 1 1]；

the following is an illustration of different application scenarios, but is not limited to these examples:

(1) setting T of channel to be estimated_m＝72ns，R_s1.76 gigabytes (Gbps), MIMO antenna number N_T2, that is, the Channel to be estimated is an antenna 2 × 2MIMO Channel, and Channel Bonding (CB) is 1, where:

length Z of zero correlation zone and length N of cyclic prefix and suffix of channel estimation training sequence_pComprises the following steps:

on the basis of M-2 and Z-128, the conditions that n needs to satisfy in the base sequence set construction process can be obtained: 2ⁿM₀2, and further n is 0 (M)₀≥2)；2ⁿL₀Z, and then L₀＝128。

Constructing to obtain a base sequence set

Wherein:

then, the length of the zero side lobe is Z equals 128, the number of sequences is M equals 2, and the sequence matrix with the sequence length of 2MZ equals 512 is:

selecting a row from a sequence matrixAdding N as training sequence for channel estimation_PAnd generating a channel estimation training sequence packet after the sequence prefix part and the sequence suffix part of the bits, and transmitting by one transmitting antenna.

Fig. 4 is a schematic diagram of a channel estimation training sequence in a second embodiment of the sequence-based channel estimation method provided by the present invention, in which there are 2 transmitting antennas in this example, and fig. 4 shows 2 channel estimation training sequence packets obtained according to the sequence matrix, which are respectively transmitted by the 2 transmitting antennas, where a₁₁、A₁₂、 A₂₁、A₂₂Respectively represent

(all subsequent examples refer to this representation). It can be seen that, among them, the 128-bit sequence prefix portion is the same as the 128 bits after the channel estimation sequence in the same channel estimation training sequence packet, and the sequence suffix portion is the same as the 128 bits before the channel estimation sequence in the same channel estimation training sequence packet.

(2) Setting T of channel to be estimated_m＝72ns，R_s1.76Gbps, number of MIMO antennas N_T4, that is, the channel to be estimated is an antenna 4 × 4MIMO channel, CB is 1, where:

on the basis of M-4 and Z-128, the conditions that n needs to satisfy in the base sequence set construction process can be obtained: 2ⁿM₀4, and n is 1 (M)₀≥2)；2ⁿL₀Z, and then L₀＝64。

Constructing to obtain a base sequence set

Wherein:

the base sequence set is iterated according to iteration times n and the iteration method, and then:

then, the length of the zero side lobe is Z equals 128, the number of sequences is M equals 4, and the sequence matrix with the sequence length of 2MZ equals 1024 is:

and selecting a row from the sequence matrix as a channel estimation training sequence, adding a sequence prefix part and a sequence suffix part to generate a channel estimation training sequence packet, and transmitting the channel estimation training sequence packet by one transmitting antenna.

Fig. 5 is a schematic diagram of a channel estimation training sequence in a third embodiment of the sequence-based channel estimation method provided by the present invention, where in this example, there are 4 transmitting antennas, and fig. 5 shows that 4 channel estimation training sequence packets obtained according to the sequence matrix are respectively transmitted by the 4 transmitting antennas. It can be seen that, among them, the 128-bit sequence prefix portion is the same as the 128 bits after the channel estimation sequence in the same channel estimation training sequence packet, and the 128-bit sequence suffix portion is the same as the 128 bits before the channel estimation sequence in the same channel estimation training sequence packet.

(3) Setting T of channel to be estimated_m＝72ns，R_s1.76Gbps, number of MIMO antennas N_TI.e. the channel to be estimated is an antenna 8 × 8MIMO channel, CB ═ 1, where:

on the basis of M-8 and Z-128, the conditions that n needs to satisfy in the base sequence set construction process can be obtained: 2ⁿM₀8, further n is 2 (M)₀≥2)；2ⁿL₀Z, and then L₀＝32。

Constructing to obtain a base sequence set

Wherein:

then, the length of the null sidelobe is Z equals 128, the number of sequences is M equals 8, and the sequence length is 2MZ equals 2048, where the sequence matrix is:

Fig. 6 is a schematic diagram of a channel estimation training sequence in a fourth embodiment of the sequence-based channel estimation method provided by the present invention, where in this example, there are 8 transmit antennas, and as shown in fig. 6, 8 channel estimation training sequence packets obtained according to the sequence matrix are respectively transmitted by the 8 transmit antennas. It can be seen that, among them, the 128-bit sequence prefix portion is the same as the 128 bits after the channel estimation sequence in the same channel estimation training sequence packet, and the 128-bit sequence suffix portion is the same as the 128 bits before the channel estimation sequence in the same channel estimation training sequence packet.

(4) Setting T of channel to be estimated_m＝72ns，R_s3.52Gbps, the number of MIMO antennas N_T1, i.e. the channel to be estimated is an antenna 1 × 1SISO channel, CB is 2, where:

on the basis of M ═ 2 and Z ═ 256, the following conditions that n needs to satisfy in the base sequence set construction process can be obtained: 2ⁿM₀2, and further n is 0 (M)₀≥2)；2ⁿL₀Z, and then L₀＝256。

Constructing to obtain a base sequence set

Wherein:

n is 0, iteration is not performed, and the obtained sequence matrix with the zero side lobe length Z being 256, the number of sequences being M being 2, and the sequence length 2MZ being 1024 is:

Fig. 7 is a schematic diagram of a channel estimation training sequence in a fifth embodiment of the sequence-based channel estimation method provided by the present invention, where in this example, there are only 1 transmitting antenna, and an optional row in the sequence matrix may be used as a channel estimation training sequence to further obtain a channel estimation training sequence packet, and the channel estimation training sequence packet is transmitted by the 1 transmitting antenna. It can be seen that, among them, the 256-bit sequence prefix portion is the same as the last 256 bits of the channel estimation sequence in the same channel estimation training sequence packet, and the 256-bit sequence suffix portion is the same as the first 256 bits of the channel estimation sequence in the same channel estimation training sequence packet.

(5) Setting T of channel to be estimated_m＝72ns，R_s3.52Gbps, the number of MIMO antennas N_T2, namely the channel to be estimated is an antenna 2 × 2MIMO channel, CB is 2, where:

Constructing to obtain a base sequence set

Wherein:

and selecting a row from the sequence matrix as a channel estimation training sequence, adding a 256-bit sequence prefix part and a 256-bit sequence suffix part to generate a channel estimation training sequence packet, and transmitting the channel estimation training sequence packet by one transmitting antenna.

In this example, there are 2 transmit antennas, and the obtained 2 channel estimation training sequence packets may refer to fig. 4, which is not described herein again.

(6) Setting a wait estimation messageT of road_m＝72ns，R_s3.52Gbps, the number of MIMO antennas N_T4, that is, the channel to be estimated is an antenna 4 × 4MIMO channel, CB is 2, where:

on the basis of M-4 and Z-256, the following conditions that n needs to satisfy in the base sequence set construction process can be obtained: 2ⁿM₀4, and n is 1 (M)₀≥2)；2ⁿL₀Z, and then L₀＝128。

Constructing to obtain a base sequence set

Wherein:

then the length of the null sidelobe is 256, the number of sequences is 4, and the sequence length is 2MZ 2048, and the sequence matrix is:

In this example, there are 4 transmit antennas, and the obtained 4 channel estimation training sequence packets may refer to fig. 5, which is not described herein again.

(7) Setting T of channel to be estimated_m＝72ns，R_s3.52Gbps, the number of MIMO antennas N_TI.e. the channel to be estimated is an antenna 8 × 8MIMO channel, CB ═ 2, where:

based on M8 and Z256, the following conditions that n needs to satisfy in the base sequence set construction process can be obtained: 2ⁿM₀8, further n is 2 (M)₀≥2)；2ⁿL₀Z, and then L₀＝64。

Constructing to obtain a base sequence set

Wherein:

then, the length of the zero side lobe is Z equals 256, the number of sequences is M equals 8, and the sequence length is 2MZ equals 4096, where the sequence matrix is:

Specifically, in this example, there are 8 transmit antennas, and the obtained 8 channel estimation training sequence packets may refer to fig. 6, which is not described herein again.

(8) Setting T of channel to be estimated_m＝72ns，R_s5.28Gbps or 7.04Gbps, the number of MIMO antennas N_T1, i.e. the channel to be estimated is an antenna 1 × 1SISO channel, CB 3 or 4, where:

based on M2 and Z512, the conditions that n needs to satisfy in the base sequence set construction process can be obtained: 2ⁿM₀2, and further n is 0 (M)₀≥2)；2ⁿL₀Z, and then L₀＝512。

Constructing to obtain a base sequence set

Wherein:

n is 0, and iteration is not performed, so that the sequence matrix with the zero side lobe length Z being 512, the sequence number M being 2, and the sequence length 2MZ being 2048 is:

and selecting a row from the sequence matrix as a channel estimation training sequence, adding a 512-bit sequence prefix part and a 512-bit sequence suffix part to generate a channel estimation training sequence packet, and transmitting the channel estimation training sequence packet by one transmitting antenna.

Specifically, in this example, only 1 transmit antenna is provided, and a row may be optionally selected in the sequence matrix as a channel estimation training sequence, which may specifically refer to fig. 7 and is not described herein again.

(9) Setting T of channel to be estimated_m＝72ns，R_s5.28Gbps or 7.04Gbps, the number of MIMO antennas N_T2, i.e. the channel to be estimated is an antenna 2 × 2MIMO channel, CB is 3 or 4, where:

Constructing to obtain a base sequence set

Wherein:

Specifically, there are 2 transmit antennas in this example, and the obtained 2 channel estimation training sequence packets may refer to fig. 4, which is not described herein again.

(10) Setting T of channel to be estimated_m＝72ns，R_s5.28Gbps or 7.04Gbps, the number of MIMO antennas N_T4, i.e. the channel to be estimated is an antenna 4 × 4MIMO channel, CB is 3 or 4, where:

based on M4 and Z512, the conditions that n needs to satisfy in the base sequence set construction process can be obtained: 2ⁿM₀4, and n is 1 (M)₀≥2)；2ⁿL₀Z, and then L₀＝256。

Constructing to obtain a base sequence set

Wherein:

then, the length of the zero side lobe is Z equals 256, the number of sequences is M equals 4, and the sequence length is 2MZ equals 4096, where the sequence matrix is:

specifically, a row is selected from the sequence matrix as a channel estimation training sequence, a 512-bit sequence prefix portion and a 512-bit sequence suffix portion are added to generate a channel estimation training sequence packet, and the channel estimation training sequence packet is transmitted by one transmitting antenna.

(11) Setting T of channel to be estimated_m＝72ns，R_s5.28Gbps or 7.04Gbps, the number of MIMO antennas N_TI.e. the channel to be estimated is an antenna 8 × 8MIMO channel, CB is 3 or 4, where:

based on M8 and Z512, the conditions that n needs to satisfy in the base sequence set construction process can be obtained: 2ⁿM₀8, further n is 2 (M)₀≥2)；2ⁿL₀Z, and then L₀＝128。

Constructing to obtain a base sequence set

Wherein:

then, the length of the zero side lobe is Z512, the number of sequences is M8, and the sequence length is 2MZ 8192, where the sequence matrix is:

In this example, there are 8 transmit antennas, and the obtained 8 channel estimation training sequence packets may refer to fig. 6, which is not described herein again.

(12) Setting T of channel to be estimated_m＝300ns，R_s1.76Gbps, number of MIMO antennas N_T1, that is, the channel to be estimated is an antenna 1 × 1SISO channel, CB is 1, where:

Constructing to obtain a base sequence set

Wherein:

In this example, only 1 transmitting antenna is needed, and any row in the sequence matrix may be used as a channel estimation training sequence, which may be specifically referred to in fig. 7 and is not described herein again.

(13) Setting T of channel to be estimated_m＝300ns，R_s1.76Gbps, number of MIMO antennas N_T2, namely the channel to be estimated is an antenna 2 × 2MIMO channel, CB is 1, where:

Constructing to obtain a base sequence set

Wherein:

(14) Setting T of channel to be estimated_m＝300ns，R_s1.76Gbps, number of MIMO antennas N_T4, that is, the channel to be estimated is an antenna 4 × 4MIMO channel, CB is 1, where:

Constructing to obtain a base sequence set

Wherein:

(15) Setting up a standEstimating T of a channel_m＝300ns，R_s1.76Gbps, number of MIMO antennas N_TI.e. the channel to be estimated is an antenna 8 × 8MIMO channel, CB ═ 1, where:

Constructing to obtain a base sequence set

Wherein:

(16) Setting T of channel to be estimated_m＝300ns，R_s3.52Gbps, the number of MIMO antennas N_T1, i.e. the channel to be estimated is an antenna 1 × 1SISO channel, CB is 2, where:

on the basis of M2 and Z1024, the following conditions that n needs to satisfy in the base sequence set construction process can be obtained: 2ⁿM₀2, and further n is 0 (M)₀≥2)；2ⁿL₀Z, and then L₀＝1024。

Constructing to obtain a base sequence set

Wherein:

n is 0, iteration is not performed, and the sequence matrix with zero side lobe length Z being 1024, sequence number M being 2 and sequence length 2MZ being 4096 is obtained as follows:

and selecting a row from the sequence matrix as a channel estimation training sequence, adding a 1024 bit sequence prefix part and a 1024 bit sequence suffix part to generate a channel estimation training sequence packet, and transmitting the channel estimation training sequence packet by one transmitting antenna.

Specifically, in this example, only 1 transmit antenna is provided, and any row in the sequence matrix may be used as a channel estimation training sequence, which is specifically referred to in fig. 7 and is not described herein again.

(17) Setting T of channel to be estimated_m＝300ns，R_s3.52Gbps, the number of MIMO antennas N_T2, namely the channel to be estimated is an antenna 2 × 2MIMO channel, CB is 2, where:

Constructing to obtain a base sequence set

Wherein:

(18) Setting T of channel to be estimated_m＝300ns，R_s3.52Gbps, the number of MIMO antennas N_T4, ready to standThe estimated channel is an antenna 4 × 4MIMO channel, CB ═ 2, where:

on the basis of M4 and Z1024, the following conditions that n needs to satisfy in the base sequence set construction process can be obtained: 2ⁿM₀4, and n is 1 (M)₀≥2)；2ⁿL₀Z, and then L₀＝512。

Constructing to obtain a base sequence set

Wherein:

then, the length of the zero side lobe is Z1024, the number of sequences is M4, and the sequence length is 2MZ 8192, where the sequence matrix is:

(19) Setting T of channel to be estimated_m＝300ns，R_s3.52Gbps, the number of MIMO antennas N_TI.e. the channel to be estimated is an antenna 8 × 8MIMO channel, CB ═ 2, where:

on the basis of M being 8 and Z being 1024, the following conditions that n needs to satisfy in the base sequence set construction process can be obtained: 2ⁿM₀8, further n is 2 (M)₀≥2)；2ⁿL₀Z, and then L₀＝256。

Constructing to obtain a base sequence set

Wherein:

then, the length of the zero side lobe is Z1024, the number of sequences is M8, and the sequence length is 2MZ 16384, where the sequence matrix is:

(20) Setting T of channel to be estimated_m＝300ns，R_s5.28Gbps or 7.04Gbps, the number of MIMO antennas N_T1, i.e. the channel to be estimated is an antenna 1 × 1SISO channel, CB 3 or 4, where:

based on M2 and Z2048, the following conditions that n needs to satisfy in the base sequence set construction process can be obtained: 2ⁿM₀2, and further n is 0 (M)₀≥2)；2ⁿL₀Z, and then L₀＝2048。

Constructing to obtain a base sequence set

Wherein:

n is 0, and iteration is not performed, so that the zero side lobe length is 2048, the number of sequences is M2, and the sequence length is 2MZ 8192, where the sequence matrix is:

and selecting a row from the sequence matrix as a channel estimation training sequence, adding a 2048 bit sequence prefix part and a 2048 bit sequence suffix part to generate a channel estimation training sequence packet, and transmitting the channel estimation training sequence packet by one transmitting antenna.

(21) Setting T of channel to be estimated_m＝300ns，R_s5.28Gbps or 7.04Gbps, the number of MIMO antennas N_T2, i.e. the channel to be estimated is an antenna 2 × 2MIMO channel, CB is 3 or 4, where:

Constructing to obtain a base sequence set

Wherein:

(22) Setting T of channel to be estimated_m＝300ns，R_s5.28Gbps or 7.04Gbps, the number of MIMO antennas N_T4, i.e. the channel to be estimated is an antenna 4 × 4MIMO channel, CB is 3 or 4, where:

based on M4 and Z2048, the following conditions that n needs to satisfy in the base sequence set construction process can be obtained: 2ⁿM₀4, and n is 1 (M)₀≥2)；2ⁿL₀Z, and then L₀＝1024。

Constructing to obtain a base sequence set

Wherein:

then, the length of the null sidelobe is 2048, the number of sequences is M4, and the sequence length 2MZ 16384 is:

(23) Setting T of channel to be estimated_m＝300ns，R_s5.28Gbps or 7.04Gbps, the number of MIMO antennas N_TI.e. the channel to be estimated is an antenna 8 × 8MIMO channel, CB is 3 or 4, where:

based on M-8 and Z-2048, n is required to satisfy the conditions in the process of constructing the base sequence setIt is possible to obtain: 2ⁿM₀8, further n is 2 (M)₀≥2)；2ⁿL₀Z, and then L₀＝512。

Constructing to obtain a base sequence set

Wherein:

then, the length of the null sidelobe is 2048, the number of sequences is 8, and the sequence length 2MZ is 32768, where the sequence matrix is:

Fig. 8 is a schematic structural diagram of a first embodiment of a sequence-based channel estimation apparatus provided in the present invention, which may be integrated in the foregoing transmitting end device, as shown in fig. 8, the apparatus may include: a generating module 801 and a transmitting module 802, wherein the transmitting module 802 can utilize N of the apparatus_TThe signal is transmitted with a transmit antenna. Specifically, the method comprises the following steps:

a generating module 801 for generating N_TA plurality of channel estimation training sequence packets, wherein each of the channel estimation training sequence packets comprises: a channel estimation sequence, a sequence prefix part and a sequence suffix part, wherein the length of each channel estimation training sequence is N_CE，N_CE＝2MZ，

Z is the zero correlation side lobe length of the channel estimation training sequence, M is the number of sequences with the zero correlation side lobe length of Z, T_mFor maximum delay spread of the channel to be estimated, R_sFor symbol rate, M ≧ N_T，N_TIs a positive integer greater than 1, and the length of the sequence prefix part and the length of the sequence suffix part are both N_PThe sequence prefix part is N after the channel estimation sequence in the same channel estimation training sequence packet_PThe position is the same, the sequence postfix part is N before the channel estimation sequence in the same channel estimation training sequence packet_PIn the same position, N_P＝Z。

A sending module 802 for passing N_TTransmitting the N to a receiving end by a root transmitting antenna_TAnd each transmitting antenna transmits a corresponding channel estimation training sequence packet.

In this embodiment, N is generated_TEach channel estimates the training sequence packet, which in turn passes through N_TTransmitting the N to a receiving end by a transmitting antenna_TA channel estimation training sequence packet, the receiving end receives the N_TAfter each channel estimation training sequence packet, each receiving antenna of the receiving end is according to the N_TPerforming channel estimation by using the channel estimation training sequence packet to obtain N_TX 1 link channel gain, wherein each of said channel estimation training sequences has a length of N_CE，N_CE＝2MZ，

Z is the length of zero correlation side lobe of the channel estimation training sequence, M is the number of sequences with the length of zero correlation side lobe Z, T_mFor information to be estimatedMaximum delay spread of the track, R_sFor symbol rate, M ≧ N_T，N_TIs a positive integer greater than 1, the length of the sequence prefix portion and the length of the sequence suffix portion are both N_P，N_PThe length of the channel estimation training sequence is only required to meet the above conditions, and is not limited by delay spread any more, so that the method can support larger delay requirements, is not limited by the number of antennas and the number of channels, and can support not only single antenna and single channel, but also multiple antennas and multiple channels.

On the basis of the foregoing embodiment, the generating module 801 is specifically configured to use one row in a sequence matrix as a channel estimation training sequence, where the sequence matrix is obtained by using a base sequence set in an iterative manner, the sequence matrix is an M × M matrix, and each row in the base sequence set includes M rows₀A binary sequence, and the sequences of any two rows are mutually orthogonal and complementary, M₀Is a positive integer greater than or equal to 2; according to N_TGenerating said N for each of said channel estimation training sequences_TAnd a channel estimation training sequence packet.

The base sequence set

Wherein the content of the first and second substances,

Optionally, the T_mGreater than or equal to 72 nanoseconds. Of course, the present invention is not limited thereto.

The apparatus is used for executing the foregoing method embodiment, and the implementation principle and technical effect thereof are similar to those of the foregoing method embodiment, and are not described herein again.

Fig. 9 is a schematic structural diagram of a second embodiment of a sequence-based channel estimation apparatus according to the present invention, which may be integrated in the foregoing transmitting end device, as shown in fig. 9, the apparatus may include: memory 901, processor 902 and N_TRoot transmitting antenna 903 (the block diagram of the transmitting antenna in fig. 9 indicates N)_TRoot transmit antenna), among others, memory 901, processor 902, and N_TThe transmit antennas 903 may be coupled together by a bus 904, but are not so limited. The bus 904 may include a power bus, a control bus, a status signal bus, and the like, in addition to a data bus, and is collectively referred to as a bus in this embodiment.

The memory 901 is used to store program instructions.

The processor 902 is used for calling the program instructions in the memory 901 to execute the following methods:

By said N_TThe root transmit antenna 903 transmits the N to the receive end_TAnd each transmitting antenna transmits a corresponding channel estimation training sequence packet.

In this embodiment, N is generated_TEach channel estimates the training sequence packet, which in turn passes through N_TTransmitting the N to a receiving end by a transmitting antenna_TChannel estimationTraining sequence packet is counted, and the receiving end receives the N_TAfter each channel estimation training sequence packet, each receiving antenna of the receiving end is according to the N_TPerforming channel estimation by using the channel estimation training sequence packet to obtain N_TX 1 link channel gain, wherein each of said channel estimation training sequences has a length of N_CE，N_CE＝2MZ，

Z is the zero correlation side lobe length of the channel estimation training sequence, M is the number of sequences with the zero correlation side lobe length of Z, T_mFor maximum delay spread of the channel to be estimated, R_sFor symbol rate, M ≧ N_T，N_TIs a positive integer greater than 1, the length of the sequence prefix portion and the length of the sequence suffix portion are both N_P，N_PThe length of the channel estimation training sequence is only required to meet the above conditions, and is not limited by delay spread any more, so that the method can support larger delay requirements, is not limited by the number of antennas and the number of channels, and can support not only single antenna and single channel, but also multiple antennas and multiple channels.

Optionally, the processor 902 is specifically configured to use one row of a sequence matrix as a channel estimation training sequence, where the sequence matrix is obtained by using a base sequence set in an iterative manner, and the sequence matrix is an mxm matrix, and each row of the base sequence set includes M rows₀A binary sequence, and the sequences of any two rows are mutually orthogonal and complementary, M₀Is a positive integer greater than or equal to 2; according to N_TGenerating said N for each of said channel estimation training sequences_TAnd a channel estimation training sequence packet.

In particular, a set of base sequences

Wherein the content of the first and second substances,

Optionally, the T_mGreater than or equal to 72 nanoseconds. Of course, it may be less than 72ns, and is not limited herein.

The channel estimation training sequence provided by the embodiment of the invention can be used in a time domain for channel estimation, meets the requirement of MIMO CB, and also meets the requirement of beam tracking (Beamtracking).

On the basis of the embodiment shown in fig. 3, the receiving end receives N sent by the sending end_TAfter each channel estimation training sequence packet, the receiving end can also adopt N_TN in training sequence packet of channel estimation_TThe channel estimation training sequences are used for beam tracking.

Optionally, the channel estimation training sequence is carried in a packet structure shown in fig. 10, specifically, as shown in fig. 10, the packet structure includes: a "Directional Multi-Gigabit Short Training field (DMG Short Training field, L-STF)", "a" Directional Multi-Gigabit Channel Estimation (L-CE) "field, a" Directional Multi-Gigabit Header (DMG Header, L-Header) "field, an" Enhanced Directional Multi-Gigabit-a (EDMG Header-a) "field, an EDMG-CE" field, other fields "(which may be reserved bits), a" data "field, an" AGC "field, and a" Training sequence (TRN) "field.

Optionally, the channel estimation training sequence is carried in the TRN field or the EDMG-CE field of the packet structure shown in fig. 10, which is not limited herein.

Specifically, the transmitting end has N_TFrom the transmit antennas, each antenna transmits a packet structure as shown in FIG. 10, in which the "TRN" field/"EDMG-CE" field carries a channel estimation trainingAnd (4) sequencing.

Take the "TRN" field carrying a channel estimation training sequence as an example:

as shown in fig. 4, the two channel estimation training sequences are respectively carried in "TRN" fields of two packets, that is, the "TRN" field in the packet sent by the first antenna carries one channel estimation training sequence, and the "TRN" field in the packet sent by the second antenna carries another channel estimation training sequence; also, as shown in fig. 5, the 4 channel estimation training sequences are respectively carried in the "TRN" fields of the 4 packets, and so on, which are not repeated herein. If carried by the EDMG-CE field, it is carried in a similar manner.

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A sequence-based channel estimation method, comprising:

Z is the zero correlation side lobe length of the channel estimation training sequence, M is the number of sequences with the zero correlation side lobe length of Z, T_mFor maximum delay spread of the channel to be estimated, R_sFor symbol rate, M ≧ N_T，N_TIs a positive integer greater than 1, the sequence prefix portion and the sequence suffixThe length of the sections being N_PThe sequence prefix part is N after the channel estimation sequence in the same channel estimation training sequence packet_PThe position is the same, the sequence postfix part is N before the channel estimation sequence in the same channel estimation training sequence packet_PIn the same position, N_P＝Z；

N of the transmitting end_TTransmitting the N to a receiving end by a root transmitting antenna_TEach transmitting antenna transmits a corresponding channel estimation training sequence packet;

wherein the sending end generates N_TA channel estimation training sequence packet comprising:

2. The method of claim 1, wherein the set of base sequences

Wherein the content of the first and second substances,

is of length L₀Wherein MZ is 4ⁿL₀M₀，1≤i≤M₀And i is an integer, k is not less than 1 and not more than M₀And k is an integer, N represents a generation length of N_CEThe number of iterations of the base sequence set when estimating the training sequence, and n is a positive integer greater than or equal to 0.

3. Root of herbaceous plantThe method of claim 1, wherein T is_mGreater than or equal to 72 nanoseconds.

4. A sequence-based channel estimation apparatus, comprising: memory, processor and N_TA root transmit antenna;

By said N_TTransmitting the N to a receiving end by a root transmitting antenna_TEach transmitting antenna transmits a corresponding channel estimation training sequence packet;

the processor is specifically configured to use a row in a sequence matrix as a channel estimation training sequence, where the sequence matrix is obtained by using a base sequence set in an iterative manner, the sequence matrix is an mxm matrix, and each row of the base sequence set includes M₀A binary sequence, and an order of any two linesColumns are mutually orthogonal complementary, M₀Is a positive integer greater than or equal to 2; according to N_TGenerating said N for each of said channel estimation training sequences_TAnd a channel estimation training sequence packet.

5. The apparatus of claim 4, wherein the set of base sequences

Wherein the content of the first and second substances,

6. The apparatus of claim 4, wherein T is_mGreater than or equal to 72 nanoseconds.