CN104869085B - A kind of wireless co-operative communication method and targeted customer end - Google Patents
A kind of wireless co-operative communication method and targeted customer end Download PDFInfo
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Abstract
The invention discloses a kind of wireless co-operative communication method and targeted customer end, belong to communication technical field.This method includes：Receive the signal phasor forwarded by trunk subscriber end by channel；The signal phasor is detected according to the lowest mean square root theory of error, obtains first detection signal；Approximation is carried out according to Gauss approaching method to the targeted customer end noise vector in the first detection signal, obtains the second detection signal；Log-likelihood calculations are carried out to second detection signal；Signal Jing Guo log-likelihood calculations is deinterleaved and convolutional code decoder, obtain original transmitted signal.The wireless co-operative communication that the present invention passes through trunk subscriber end and targeted customer end, signal transmitting and receiving can be carried out using single antenna in each user terminal, efficiently solve the limitation that MIMO communication modes add repacking, cost and power consumption etc. in communication terminal such as hand-held communication terminal, aircraft, automobile.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a wireless cooperative communication method and a target user side.
Background
In the past, in the aviation communication, analog voice communication technology mainly based on VHF (Very High Frequency) is mainly used in the wireless communication system. However, with the development of civil aviation business, the operation requirement of airport scenes cannot be completely met even if the VHF channel interval is minimized. For this reason, ICAO (International Civil aviation organization) has proposed AeroMACS (Aeronautical Mobile Airport Communications System) technology to improve the operating efficiency and communication capacity of Airport surfaces, which will become a component of the Aeronautical communication infrastructure data link.
In order to satisfy the requirement of providing high-speed and reliable wireless broadband services such as airplanes and service vehicles at each mobile user end in the whole airport scene AeroMACS signal coverage area, how to overcome the influence of Non Line of Sight (NLOS) caused by obstacles such as scene buildings and trees is a primary consideration. In the case of NLOS communication, a radio signal can propagate only by reflection, scattering, or the like. The signal received by the receiving end is the sum of the signals of different paths, which will cause multipath signal fading to affect the demodulation of the received signal.
The MIMO (Multiple-Input and Multiple-Output) in the prior art is a method for solving the above problems. In a chinese patent with chinese patent application No. CN200810088724.0 entitled "signal detection method and apparatus for mimo system", the non-correlation of signals received by different antennas is realized by using a multi-antenna or array antenna architecture at the transmitting end and the receiving end, thereby effectively improving the anti-noise capability of the system. In the chinese patent with application number 200610005286.8, entitled "transfer system for broadband wireless access and method thereof," a distributed MIMO codec transmission system using a mutual transfer node adopts a space-time/space-frequency/space-time-frequency/space multiplexing coding method, fully utilizes the advantages of space division multiplexing, and improves the capacity and spectrum utilization rate of a wireless channel of a communication system by multiples without increasing the bandwidth to achieve the improvement of communication quality.
In the process of implementing the invention, the inventor finds that the prior art has at least the following problems:
the prior art MIMO aims at the civil aviation field, and especially, the introduction of a multi-antenna system into an airborne terminal or a handheld terminal is limited in aspects of modification, safety, power consumption and the like. Meanwhile, in the aspect of channel estimation, the channel estimation algorithm in the conventional MIMO cannot be directly applied to the situation of the cascade channel.
Disclosure of Invention
In order to solve the problems of the prior art, the present invention provides a wireless cooperative communication method and a target ue. The technical scheme is as follows:
in a first aspect, a wireless cooperative communication method provided in an embodiment of the present invention includes:
receiving a signal vector forwarded by a relay user side through a channel;
detecting the signal vector according to a minimum root mean square error method to obtain a first detection signal;
in the first detection signal, a Gaussian variable is used for replacing target user side noise, and according to the relation that the posterior distribution of the Gaussian variable and the target user side noise meets the requirements of equality and norm equality, the target user noise is approximated to be a function of variance, the number of relay user sides and a channel, and a second detection signal is obtained;
performing log-likelihood ratio calculation on the second detection signal;
de-interleaving the signal after log-likelihood ratio calculation;
and carrying out convolutional code decoding on the de-interleaved signal to obtain an original transmitting signal.
In one possible implementation manner of the first aspect, the first detection signal includes:
wherein,signal vector s ═ s transmitted via channel i using two time slots for source clients1,s2]tdetected by the least mean square error method, α1，α2transmitting a signal amplification factor, alpha, for a source user side2Transmitting signal amplification factor, h, for relay user terminaliRepresenting partial channel state information, h representing a partial channel state information matrix, yiIndicating the received signal vector forwarded by the repeater subscriber terminal through the channel, (…)HIndicates that the vector in brackets is subjected to transposition conjugation, indicates that the variable should be conjugated or kept unchanged according to Alamouti coding requirements,z represents the noise at the target user end,variance, g, representing the noise of the target useriIndicating the channel between the relay client and the target client.
In one possible implementation manner of the first aspect, in the first detection signal, a target is replaced by a gaussian variableAnd (3) the target user side noise is approximated as a function of the variance, the number of relay user sides and the channel according to the relation that the posterior distribution of the Gaussian variable and the target user side noise meets the expectation equality and the norm equality, and the second detection signal is obtained by: by Gaussian variationReplacing target user side noise ziAccording to the Gaussian variableAnd target user side noise ziSatisfy the requirement ofAnd in the context of (a) or (b),can be approximated asWherein,presentation acquisitionUnder the condition of ziVar represents variance, T is the number of channel utilization in the process of a signal from a source user side to a relay user side or from the relay user side to a target user side; r is a relay userNumber of ends.
In one possible implementation manner of the first aspect, the performing log-likelihood ratio calculation on the second detection signal includes:
and carrying out log-likelihood ratio calculation on the real part of the second detection signal according to the quadrature phase shift keying modulation mode.
In a possible implementation manner of the first aspect, the partial channel state information is obtained by estimating a channel using a sounding pulse known to both the source ue and the target ue.
In one possible implementation manner of the first aspect, the method further includes:
a relay user side receives a signal vector from a source user side and performs distributed space-time block coding processing on the signal vector;
the relay user side amplifies the signal vector after the distributed space-time block coding processing to obtain a transmitting signal vector;
and the relay user side forwards the transmitting signal vector through a channel.
In a second aspect, an embodiment of the present invention provides a target ue, including:
a receiving unit, configured to receive a signal vector forwarded by a relay user end through a channel;
the demodulation unit is used for detecting the signal vector according to a minimum root mean square error method to obtain a first detection signal; in the first detection signal, a Gaussian variable is used for replacing target user side noise, and according to the relation that the posterior distribution of the Gaussian variable and the target user side noise meets the requirements of equality and norm equality, the target user noise is approximated to be a function of variance, the number of relay user sides and a channel, and a second detection signal is obtained; performing log-likelihood ratio calculation on the second detection signal;
the de-interleaving unit is used for performing de-interleaving processing on the signal subjected to the log-likelihood ratio calculation;
and the convolutional code decoding unit is used for carrying out convolutional code decoding on the de-interleaved signal to obtain an original transmitting signal.
In one embodiment of the second aspect, the demodulation unit comprises:
the first signal detection unit is used for detecting the signal vector according to a minimum root mean square error method to obtain a first detection signal;
the second signal detection unit is used for approximating the noise vector of the target user terminal in the first detection signal according to a Gaussian approximation method to obtain a second detection signal;
and a log-likelihood ratio calculation unit configured to perform log-likelihood ratio calculation on the second detection signal.
In an embodiment of the second aspect, the second signal detection unit is configured to replace target user-side noise with a gaussian variable in the first detection signal, and approximate the target user-side noise as a function of variance, number of relay users, and channel according to a relation that a posterior distribution of the gaussian variable and the target user-side noise satisfies an expectation of equality and norm equality, and obtain the second detection signal includes: by Gaussian variationReplacing target user side noise ziAccording to the Gaussian variableAnd target user side noise ziSatisfy the requirement of Andin the context of (a) or (b),can be approximated as Wherein,presentation acquisitionUnder the condition of ziVar represents variance, T is the number of channel utilization in the process of a signal from a source user side to a relay user side or from the relay user side to a target user side; r is the number of relay clients.
In an embodiment of the second aspect, the target ue further includes an obtaining unit, configured to estimate a channel by using sounding pulses known by both the source ue and the target ue, and obtain partial channel state information.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
through the cooperative communication between the relay user side and the target user side, each user side can utilize a single antenna to receive and transmit signals, and the limitation of an MIMO communication mode in the aspects of modification, cost, power consumption and the like of communication terminals such as handheld communication terminals, airplanes, automobiles and the like is effectively solved. Meanwhile, only the source-relay-target cascade channel estimation can be carried out by utilizing the Gaussian approximation, and the complexity of respectively estimating each independent channel is simplified.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
Fig. 1 is a schematic structural diagram of a wireless cooperative communication system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a wireless cooperative communication system in an NLOS communication scenario according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a wireless cooperative communication system according to a second embodiment of the present invention;
fig. 4 is a schematic diagram of a wireless cooperative communication architecture according to a third embodiment of the present invention;
fig. 5 is a flowchart of a wireless cooperative communication method according to a third embodiment of the present invention;
fig. 6 is a flowchart of another wireless cooperative communication method provided in the third embodiment of the present invention;
fig. 7 is a schematic structural diagram of a target ue according to a fourth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Example one
An embodiment of the present invention provides a wireless cooperative communication system, and referring to fig. 1, the system includes:
a source user terminal 11 for transmitting signals;
the relay user side 12 is used for receiving the signal transmitted from the source user side 11, processing the signal according to a cooperative communication strategy between the relay user sides, and forwarding the processed signal;
the target ue 13 receives the signal from the relay ue 12, demodulates and decodes the signal, and obtains the original transmission signal of the source ue 11.
The number of the relay clients 12 may be at least two according to a specific application implementation scenario. The embodiment of the present invention takes two relay ues as an example for explanation, but the number of relay ues in the specific implementation application is not limited.
In particular embodiments, the wireless cooperative communication system may be used for information interaction for mobile/stationary users of airport surfaces, such as taxis, vehicles, and surface maintenance personnel. For the wireless cooperative communication system, the role of the user terminal can be changed among the three types of terminals according to the communication needs at different moments, that is, the user terminal may serve as a source user terminal when needing to transmit signals, serve as a relay user terminal when cooperating with other user terminals to forward signals, and serve as a target user terminal when receiving signals.
The wireless cooperative communication system shown in fig. 2 is a wireless cooperative communication system in an NLOS communication scenario. As shown in fig. 2, the source user side is an airport surface airplane, the target user side is a control tower, and a building shelter exists between the airport surface airplane and the control tower. In the system, a user in a LOS (Line of Sight) communication condition with both a source user side, namely an airport scene plane, and a target user side, namely a control tower, is used as a relay user side. After the relay user end receives the signal transmitted from the source user end, the signal is processed through a cooperative communication strategy among the relay user ends and then forwarded to the target user end, and after the target user end demodulates and decodes the received signal, the original signal transmitted by the source user end is obtained, so that a complete communication process is completed.
The wireless cooperative communication system provided by the embodiment of the invention can utilize a single antenna to transmit and receive signals at each user side through the cooperative communication among the relay user sides, thereby effectively solving the limitation of an MIMO communication mode in the aspects of modification, cost, power consumption and the like of communication terminals such as handheld communication terminals, airplanes, automobiles and the like.
Example two
An embodiment of the present invention provides a wireless cooperative communication system, and referring to fig. 3, the system includes:
the source user terminal 31 is used for transmitting signals after preprocessing the signals;
wherein, the source ue 31 performs signal preprocessing on the signal by using BICM (Bit interleaved Modulation coding) before signal transmission, and then transmits the signal;
specifically, the source-user terminal 31 includes:
a channel encoding section 311 that performs channel encoding processing on the signal;
wherein the channel coding may utilize a convolutional code.
An interleaving unit 312 that performs interleaving on the signal subjected to the channel coding;
signal modulation section 313 performs signal modulation on the signal subjected to the interleave processing.
Further, the source user terminal further comprises a transmitter for transmitting the modulated signal.
The relay client 32 is configured to receive a signal transmitted from the source client 31, process the signal according to a cooperative communication policy between the relay clients, and forward the processed signal;
after receiving the signal, the relay client 32 performs Alamouti DSTBC (distributed space-Time Block Codes) processing on the signal, amplifies the signal, and forwards the signal;
specifically, the relay client 32 includes:
a DSTBC processing unit 321, configured to perform Alamouti DSTBC processing on the received signal;
a signal amplifying unit 322, configured to amplify and forward the signal processed by the DSTBC processing unit 321.
The target ue 33 receives the signal from the relay ue 32, demodulates and decodes the signal, and obtains the original transmission signal of the source ue 31.
Specifically, the target user side 33 includes:
a signal demodulation unit 331 configured to demodulate a received signal;
wherein demodulating the signal comprises: signal detection and LLR (log arithm likehood Ratio) calculation;
a deinterleaving unit 332 for deinterleaving the demodulated signal;
since the interleaving unit 312 performs interleaving on the signal to suppress channel selective fading, the deinterleaving unit 332 performs deinterleaving on the signal correspondingly;
a soft decoding processing unit 333, configured to perform convolutional code decoding on the deinterleaved signal to obtain a signal transmitted by the source user terminal 31.
In the embodiment of the present invention, the number of the relay clients 32 may be at least two according to a specific application implementation scenario. The embodiment of the present invention takes two relay ues as an example for explanation, but the number of relay ues in the specific implementation application is not limited.
The wireless cooperative communication system provided by the embodiment of the invention is applied to the NLOS communication scene shown in fig. 2, and the relay user side adopts a cooperative communication mode based on Alamouti DSTBC, so that the influence caused by multipath fading in non-line-of-sight communication can be effectively reduced.
EXAMPLE III
The embodiment of the invention provides a wireless cooperative communication method, which is based on a wireless cooperative communication architecture as shown in fig. 4. In FIG. 4, each subchannel of channel I and channel II is represented by fiAnd giIn this way, since the wireless cooperative communication method provided by the embodiment of the present invention is described by taking NLOS communication environment as an example, f may be assumediAnd giAre Rayleigh channels and satisfy non-selective and infinite distributed (IID) attenuation characteristics. For this reason, the channel statistics are described in CN (0, 1), where CN (μ, σ)2) Mean and variance are expressed as mu and sigma respectively2A gaussian distribution of complex numbers. Further, assume noise n of relay-user sideriAnd noise n of target user terminaldIs white gaussian noise and has the same variance σ2I.e. by
Referring to fig. 5, a flowchart of a wireless cooperative communication method provided by a third embodiment of the present invention includes:
501: the target user side receives the signal vector forwarded by the relay user side through the channel;
specifically, the signal vector may be specifically expressed as:
wherein alpha is1，α2Transmitting signal amplification factors for the source user side and the relay user side respectively,for additive white gaussian noise of the relay ue i, s is the vector of the signal sent by the source ue through the channel i using two time slots, and s ═ s1,s2]t，CiConstructing a parameter matrix of Alamouti DSTBC; (. x) indicates that the variable should be conjugated or left unchanged according to Alamouti coding requirements.
The embodiment of the invention defines PCSI (Partial Channel State Information) in hiAnd (4) showing. The following can be obtained by simplifying the formula (1):
y＝α1α2Ph+z (2)
and:
in this embodiment of the present invention, before referring to fig. 6 and 501, the method may further include:
61: the relay user side receives the signal vector and carries out DSTBC processing on the signal vector;
62: the relay user terminal amplifies the signal vector processed by the DSTBC to obtain a transmitting signal vector;
in embodiments 61 and 62 of the present invention, specifically, the relay client i receives the signal vector ri＝[ri1,ri2]t：
wherein alpha is1A signal amplification factor is transmitted for the source user side,additive white Gaussian noise, s, for relay client i1And s2Signal vector s ═ s transmitted via channel i using two time slots for source clients1,s2]t。
Relay client i uses DSTBC to receive signal vector riCoding operation, then obtaining the transmitting signal vector ti：
after the relay user end is coded, the signal vector is amplified to obtain a transmitting signal vector, the transmitting signal vector is transmitted, the signal vector reaches a target user end through a channel II, wherein α2And transmitting the signal amplification factor for the relay user terminal.
502: a target user side detects a signal vector by using MMSE (Minimum Mean Square Error) to obtain a first detection signal;
wherein the first detection signal is:
wherein, (…)HIndicating that the vector in the brackets is subjected to transposition conjugation; in addition, the method can be used for producing a composite materialCan be expressed as:
replacing the noise of the target user terminal by a Gaussian variable in the first detection signal by the target user terminal, approximating the noise of the target user terminal as a function of variance, the number of relay user terminals and a channel according to the relationship that the posterior distribution of the Gaussian variable and the noise of the target user terminal meets the requirements of equality and norm equality, and obtaining a second detection signal;
specifically, as can be seen from equations (7) to (8), h needs to be obtained when a signal is to be demodulatediAnd giAnd embodiments of the present invention provide for obtaining h onlyiA method of signal detection based on (1). From the formula (8), it can be seen thatCannot be obtained because of giIs unknown. At the same time, assume that the channel meets Rayleigh fading conditions and giWhen complex number circle gaussian distribution is satisfied, as can be known from equation (1), elements in the target user side noise vector z all include product terms of two gaussian variables, so z does not satisfy the gaussian random process. To calculateThe embodiment of the invention provides a method for performing Gaussian approach on z, which specifically comprises the following steps:
using a Gaussian variableTo approach ziAnd the following relationship is satisfied between the two variables:
and
wherein,which is indicative of the obtained channel estimate(s),is shown to be knownUnder the condition of ziThe satisfied conditional expectation, Var represents variance;
based on the above-mentioned formula,can be replaced by the following calculated values:
wherein, T is the channel utilization number of the signal in the process from the source user side to the relay user side, or from the relay user side to the target user side; r is the number of relay user terminals, and R is 2 in an Alamouti DSTBC strategy; | is the Frobenius norm, and K0 and K1 are modified Bessel (bayes) type ii functions of order 0 and 1, respectively. The second detection signal is obtained by approximation processing by the above approach method and calculating equation (7).
504: performing LLR calculation on the second detection signal;
in particular for the demodulated bit b1LLR calculation of (D) corresponds to s1The real part of (a) can be expressed as follows for a QPSK (quadrature phase Shift key) modulation scheme LLR:
wherein,is composed ofAnd:
505: and de-interleaving and decoding the convolution code on the signal after the LLR calculation to obtain an original transmitting signal.
Wherein, the original transmitting signal is a signal vector transmitted by the source user terminal.
In the embodiment of the present invention, when demodulating the received signal, the channel state information h needs to be obtained first. For the Alamouti DSTBC cooperative communication scheme, the embodiment of the invention adopts the known detection pulses of both the source user end and the target user end to estimate the channel, and assumes that the channel estimation can be obtained by using LS (Least Square method) under the condition of Np detection pulses with the number of 2The following were used:
wherein P is0Similar to the definition of P in equation (4), except that it corresponds to the detection of a 2 × 1 pulse vector s0；NpThe number of DSTBC packets based on the probe pulse is encoded for each frame of the signal.
It should be noted that LS may be replaced by obtaining the channel estimation by using LMMSE (Linear Minimum Mean square error) and ML (Maximum Likelihood)
In the wireless cooperative communication method provided by the embodiment of the invention, the target user side estimates part of channel information through the probe pulse transmitted by the source user side, and the detection of the received signal can be carried out according to the part of channel information. Compared with complete channel estimation, the method provided by the embodiment of the invention effectively reduces the complexity of the relay user side in the channel estimation and effectively improves the overall operation efficiency of the communication system.
Example four
An embodiment of the present invention provides a target ue, referring to fig. 7, including:
a receiving unit 71, configured to receive a signal vector forwarded by a relay user end through a channel;
specifically, the signal vector is as described in embodiment three 501, and the details of the embodiment of the present invention are not repeated here.
A demodulation unit 72, configured to approximate the signal vector according to MMSE to obtain a first detection signal; in the first detection signal, a Gaussian variable is used for replacing the noise of a target user terminal, and the noise of the target user terminal is approximated to be a function of a variance, the number of relay user terminals and a channel according to the relation that the posterior distribution of the Gaussian variable and the noise of the target user terminal meets the expectation equality and the norm equality, so that a second detection signal is obtained; carrying out log likelihood ratio calculation on the second detection signal;
specifically, the demodulation unit 72 includes:
a first signal detection unit 721, configured to detect a signal vector according to MMSE, to obtain a first detection signal;
the second signal detection unit 722 is configured to replace the target user-side noise with a gaussian variable in the first detection signal, and approximate the target user-side noise as a function of a variance, the number of relay user sides, and a channel according to a relationship that a posterior distribution of the gaussian variable and the target user-side noise satisfies an expectation of equality and a norm equality, so as to obtain a second detection signal;
the first detection signal, the second detection signal and the specific detection method are described in detail in the third embodiment of the present invention, and are not described again here.
An LLR calculating unit 723 configured to perform LLR calculation on the second detection signal;
a deinterleaving unit 73, configured to perform deinterleaving processing on the signal after LLR calculation;
and a convolutional code decoding unit 74, configured to perform convolutional code decoding on the deinterleaved signal to obtain an original transmission signal.
Wherein, the original transmitting signal is a signal vector transmitted by the source user terminal.
The target user side provided by the embodiment of the invention is based on the wireless cooperative communication method provided by the third embodiment of the invention, partial channel information is estimated through the probe pulse transmitted by the source user side, and the detection of the received signal can be carried out according to the partial channel information. Compared with complete channel estimation, the target user terminal provided by the embodiment of the invention effectively reduces the complexity of the relay user terminal in channel estimation and effectively improves the overall operation efficiency of the communication system.
Finally, it should be noted that the above-mentioned serial numbers of the embodiments of the present invention are merely for description, and do not represent the advantages and disadvantages of the embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (9)
1. A method of wireless cooperative communication, the method comprising:
receiving a signal vector forwarded by a relay user side through a channel;
detecting the signal vector according to a minimum root mean square error method to obtain a first detection signal;
in the first detection signal, a Gaussian variable is used for replacing target user side noise, and the target user side noise is approximated to be a function of a variance, the number of relay user sides and a channel according to the fact that the posterior distribution of the Gaussian variable and the target user side noise meets the relation of expectation equality and norm equality, so that a second detection signal is obtained;
performing log-likelihood ratio calculation on the second detection signal;
de-interleaving the signal after log-likelihood ratio calculation;
and carrying out convolutional code decoding on the de-interleaved signal to obtain an original transmitting signal.
2. The wireless cooperative communication method according to claim 1, wherein the first detection signal includes:
wherein,signal vector s ═ s transmitted via channel using two time slots for source user side1，s2]tdetected by the least mean square error method, α1transmitting a signal amplification factor, alpha, for a source user side2Transmitting signal amplification factor, h, for relay user terminaliRepresenting partial channel state information, h representing a partial channel state information matrix, yiIndicating the received signal vector forwarded by the repeater subscriber terminal through the channel, (…)HIndicates that the vector in brackets is processed by transposition conjugation, represents that variables should be conjugated or kept unchanged according to Alamouti coding requirements,z represents the target user side noise, σ2Represents the variance of white gaussian noise and,variance, g, representing the noise at the target user endiRepresents a channel between a relay client and a target client, and giIs a Rayleigh letterAs a result, non-selective and IID attenuation characteristics are satisfied.
3. The wireless cooperative communication method according to claim 2, wherein the step of replacing the target ue-side noise with a gaussian variable in the first detection signal, and approximating the target ue-side noise as a function of variance, number of relay ues and channel according to the a posteriori distribution of the gaussian variable and the target ue-side noise satisfying the relation of desired equality and norm equality, to obtain the second detection signal comprises: by Gaussian variation Replacing target user side noise ziAccording to the Gaussian variable and the target user side noise ziSatisfy the requirement ofAndin the context of (a) or (b),is approximated toWherein,after a Gaussian approach to zT is the number of channel utilization in the process of the signal from the source user terminal to the relay user terminal or the relay user terminal to the target user terminal,representing the obtained channel estimates;is shown to be knownUnder the condition ziThe requirement of the satisfied condition is that Var represents variance, and R is the number of relay clients.
4. The wireless cooperative communication method according to claim 3, wherein performing log-likelihood ratio calculation on the second detection signal comprises:
and carrying out log-likelihood ratio calculation on the real part of the second detection signal according to the quadrature phase shift keying modulation mode.
5. The method of claim 2, wherein the partial channel state information is estimated using sounding pulses known to both the source ue and the target ue.
6. The method of wireless cooperative communication according to claim 5, further comprising:
a relay user side receives a signal vector from a source user side and performs distributed space-time block coding processing on the signal vector;
the relay user side amplifies the signal vector after the distributed space-time block coding processing to obtain a transmitting signal vector;
and the relay user side forwards the transmitting signal vector through a channel.
7. A target user side, comprising:
a receiving unit, configured to receive a signal vector forwarded by a relay user end through a channel;
the demodulation unit is used for detecting the signal vector according to a minimum root mean square error method to obtain a first detection signal; in the first detection signal, a Gaussian variable is used for replacing target user side noise, and the target user side noise is approximated to be a function of a variance, the number of relay user sides and a channel according to the fact that the posterior distribution of the Gaussian variable and the target user side noise meets the relation of expectation equality and norm equality, so that a second detection signal is obtained; performing log-likelihood ratio calculation on the second detection signal;
the de-interleaving unit is used for performing de-interleaving processing on the signal subjected to the log-likelihood ratio calculation;
and the convolutional code decoding unit is used for carrying out convolutional code decoding on the de-interleaved signal to obtain an original transmitting signal.
8. The target user side of claim 7, wherein the demodulation unit comprises:
the first signal detection unit is used for detecting the signal vector according to a minimum root mean square error method to obtain a first detection signal;
the second signal detection unit is used for replacing the target user side noise with a Gaussian variable in the first detection signal, and approximating the target user side noise as a function of a variance, the number of relay user sides and a channel according to the fact that the posterior distribution of the Gaussian variable and the target user side noise meets the relation of expectation equality and norm equality to obtain a second detection signal;
and a log-likelihood ratio calculation unit configured to perform log-likelihood ratio calculation on the second detection signal.
9. The target ue according to claim 7 or 8, wherein the target ue further comprises an obtaining unit, configured to obtain partial channel state information by estimating a channel using the sounding pulse known by both the source ue and the target ue.
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