CN117220714B - Self-interference combined suppression method and device suitable for full duplex communication - Google Patents
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Abstract
The invention discloses a self-interference combined suppression method and device suitable for full duplex communication, and relates to the technical field of wireless communication. The self-interference combined suppression method comprises the following steps: modeling an OFDM transmitting signal, a multipath channel and an OFDM receiving signal respectively, and obtaining frequency response corresponding to the multipath channel after FFT conversionAnd linear frequency response introduced by power amplifierThe method comprises the steps of carrying out a first treatment on the surface of the For the frequency responseAnd linear frequency responseObtaining a signal impact matrix from the time domainEstimate of (2)The method comprises the steps of carrying out a first treatment on the surface of the Based on the estimated valueFor the mth OFDM received signalPerforming IFFT transformation after equalization, and obtaining multi-order nonlinear estimation value introduced by power amplifier in time domainThe method comprises the steps of carrying out a first treatment on the surface of the Combining saidAnd a multi-order nonlinear estimation valueReconstructing the self-interference signal and performing self-interference suppression. The invention can effectively improve the performance of linear and nonlinear self-interference suppression.
Description
Technical Field
The invention relates to the technical field of wireless communication, in particular to a self-interference combined suppression method and device suitable for full duplex communication.
Background
The full duplex technology is one of key technologies in future wireless communication technology, breaks through a duplex mode of uplink/downlink transmission in a time domain or a frequency domain, enables communication parties to use the same carrier and time slot resources, and can realize transmission and reception on the same carrier frequency at the same time, so that the spectrum efficiency is doubled, and the throughput and capacity of a system are remarkably improved. The full duplex technology is characterized in that the receiving and transmitting are carried out at the same time and the same frequency, and has the advantage that the spectrum utilization rate is doubled compared with that of the non-full duplex technology. The main problem faced by full duplex technology is the strong self-interference of transmission and reception due to the simultaneous same frequency band of transmission and reception. The self-interference consists of two parts, namely linear self-interference and nonlinear self-interference. How to suppress these two self-interferences is critical to whether full duplex technology can be practically applied.
At present, the simultaneous co-frequency self-interference suppression method comprises antenna self-interference suppression, radio frequency self-interference suppression and digital self-interference suppression. The self-interference suppression sequence is that the self-interference of the congenital antennas is suppressed, then the radio frequency self-interference suppression is carried out, and finally the digital self-interference suppression is carried out. After the self-interference suppression of the antenna and the self-interference suppression of the radio frequency, the residual self-interference signal still contains two parts of linear self-interference and nonlinear self-interference, and the residual linear self-interference and nonlinear self-interference are suppressed through digital self-interference suppression.
The existing simultaneous on-channel digital linear and nonlinear self-interference suppression technology mainly comprises the steps of feeding back signals to a digital baseband for digital self-interference suppression after adding an auxiliary channel from a power amplifier, or estimating, reconstructing and counteracting linear and nonlinear self-interference signals based on nonlinear signal modeling. From analysis, the existing method for adding the auxiliary channel increases hardware cost and equipment volume, and particularly, as the transmission channel increases, such as a MIMO (multiple input multiple output) system, the required auxiliary channel also increases, and the cost and volume are unacceptable. In addition, the existing nonlinear signal model-based method is more complex due to the influence of nonlinear self-interference multipath, and the complexity of the existing algorithm is high.
Disclosure of Invention
In order to overcome the technical problems existing in the related art at least to a certain extent, the invention provides a self-interference combined suppression method and device suitable for full duplex communication.
In a first aspect, a self-interference joint suppression method applicable to full duplex communication provided by an embodiment of the present invention includes the following steps:
modeling an OFDM transmitting signal, a multipath channel and an OFDM receiving signal respectively, and obtaining frequency response corresponding to the multipath channel through FFT conversionAnd the linear frequency response introduced by the power amplifier +.>；
For the frequency responseAnd linear frequency response->Obtaining a signal influence matrix from the time domain>Estimate of +.>；
Based on the estimated valueFor the mth OFDM reception signal +.>Performing IFFT transformation after equalization to obtain multi-order nonlinear estimation value ++introduced by power amplifier in time domain>；
Combining saidAnd a multi-order nonlinear estimation value +.>Reconstructing the self-interference signal and performing self-interference suppression.
In a second aspect, an embodiment of the present invention provides a self-interference joint suppression device applicable to full duplex communication, including:
the frequency response calculation module is used for respectively modeling the OFDM transmitting signal, the multipath channel and the OFDM receiving signal, and obtaining the frequency response corresponding to the multipath channel after FFT conversionAnd the linear frequency response introduced by the power amplifier +.>；
An estimated value acquisition module for aiming at the frequency responseAnd linear frequency response->Obtaining a signal influence matrix from the time domain>Estimate of +.>；
An equalization and nonlinear acquisition module for acquiring the estimated valueFor the mth OFDM reception signal +.>Performing IFFT transformation after equalization to obtain multi-order nonlinear estimation value ++introduced by power amplifier in time domain>；
A self-interference signal suppression module for combining theAnd a multi-order nonlinear estimation value +.>Reconstructing the self-interference signal and performing self-interference suppression.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
the embodiment of the invention considers the characteristic of influence of multipath on a transmitted self-interference signal, firstly models an OFDM transmitting signal, a multipath channel and an OFDM receiving signal, and calculates from a frequency domain through FFT conversion to obtain a frequency response corresponding to the multipath channelAnd the linear frequency response introduced by the power amplifier +.>The method comprises the steps of carrying out a first treatment on the surface of the Then obtain the frequency response from the time domain +.>Linear frequency response introduced with power amplifier>Estimate of product +.>And receive signal +.>Performing IFFT transformation after equalization to obtain multi-order nonlinear estimation value ++introduced by power amplifier in time domain>Thereby completing the estimation of the linear and nonlinear factors; finally combine said->And a multi-order nonlinear estimation value +.>And reconstructing the self-interference signal, and performing self-interference suppression to complete frequency domain reconstruction and cancellation of the self-interference signal, thereby effectively improving the performance of linear and nonlinear self-interference suppression.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a functional block diagram of a self-interference joint suppression device suitable for full duplex communication according to an embodiment of the present invention.
Fig. 2 is a graph of interference suppression performance test results provided by an embodiment of the present invention.
The reference numerals in the drawings are:
a frequency response calculation module 100; an estimated value acquisition module 200;
an equalization and nonlinear acquisition module 300; the self-interference signal suppression module 400.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of methods and apparatus consistent with aspects of the present application as detailed in the accompanying claims.
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 further detail with reference to the accompanying drawings.
Example 1
The self-interference combined suppression method suitable for full duplex communication provided by the embodiment of the invention mainly comprises the following steps:
step S100: modeling an OFDM transmitting signal, a multipath channel and an OFDM receiving signal respectively, and obtaining frequency response corresponding to the multipath channel after FFT conversionAnd the linear frequency response introduced by the power amplifier +.>。
In this embodiment, a specific method for modeling an OFDM transmission signal is as follows: digital baseband transmitting OFDM signalAfter passing through a digital-to-analog converter (Digital to Analog Converter, DAC), the signal isWherein (1)>Is->Is a simulated expression of->Is quantization noise.
The analog signal is mixed to a transmitting frequency point through a radio frequency transmitting channel, and after the signal power is amplified, a millimeter wave radio frequency signal is generatedIn the process, as the transmission Power requirement of the base station is larger, a Power Amplifier (PA) works in a saturation region, so that the signal generates nonlinearity and memory, and nonlinear distortion can be caused by the signal passing through the Power Amplifier. Finally transmitting the signal on the antenna +.>Can be expressed as: />Wherein, map->Is to express the function of the power amplifier>For thermal noise of the transmitter, +.>Is the carrier frequency of the downstream signal.
Since the PA has nonlinearity and memory, the method adopts Volterra series to characterize the action of the PA, and the equivalent baseband model of the OFDM transmission signal can be expressed asWherein (1)>In (1) the->Is->The baseband at each instant in time transmits a signal,i 1 ，i 2 ，i 3 ，i 4 ，i 5 representing memory delay->Is the memory depth; />Discrete-time form of quantization noise introduced for DAC, < >>In the form of the discrete time of the thermal noise of the transmitter, noise of the signal +.>Including quantization noiseAnd thermal noise->。/>For the signal carrier frequency, n represents the different sampling instants,/->n represents a certain sampling instant phase. />Is the first order frequency of the power amplifierResponse (I)>And->The third-order and fifth-order frequency responses of the power amplifier are respectively. In a propagation environment, the propagation path of the downlink interference signal includes a spatial scattering path, such as refraction, diffraction, transmission, and the like, in addition to the direct path in the near-field model.
In this embodiment, considering that the impulse response passing through the near-field direct path and the spatial scattering path has a similar form, the number of multipaths experienced by the downlink interference signal is assumed to beThe multipath channel can be modeled as a model as follows:wherein (1)> Indicate->Channel gain on the path, +.>Representing a unit impulse response function,/->Indicate->Transmission delay of the stripe.
At the moment, the corresponding direct model is +.>Wherein the distance between the first array elements of the transmitting and receiving antennas is +.>，/>Is->Individual transmitting array elements and->Distance of individual receiving array elements->Is the power normalization constant, +.>Is the wavelength of the carrier wave.
The equivalent baseband form of the OFDM received signal is represented as follows:wherein (1)>Representing the equivalent self-interference channel after the self-interference suppression of the antenna and the self-interference suppression of the radio frequency, the symbol ∈ ->Representing convolution operation,/->And->Respectively self-interference signals->And the desired signal->Is a discrete time representation of (c).
The received signal passes through a radio frequency receiving channel and is subjected to down-conversion to obtain an intermediate frequency analog signalThen the intermediate frequency analog signal is sampled by an ADC to obtain a residual self-interference signal to be suppressed +.>Can be expressed asIn (1) the->Is the multipath number of the self-interference channel, +.>Indicate->Gain of the path.
Further, only the OFDM signal with CP (cyclic prefix) removed is considered under ideal synchronization, and the mth OFDM received signalCan be expressed as +.>Wherein (1)> After said FFT transformation, we get +.>Wherein (1)>Is a fourier transform matrix; due to->And->All are cyclic shift matrixes, so that the cyclic shift matrixes are obtained by simplification,wherein (1)>The frequency response corresponding to the multipath channel is a diagonal matrix; />The linear frequency response introduced by the power amplifier is a diagonal array;；/>；/>。
represent the first
The channel gain of the path is determined,is a cyclic shift matrix of channel gains of different paths. />Is the +.o of the mth OFDM symbol>The linear signal after power amplification at each moment,is in the form of a linear signal matrix of the mth OFDM symbol after power amplification.
Is in a form of a three-order nonlinear signal matrix of an mth OFDM symbol after power amplification, and is->Is in a five-order nonlinear signal matrix form after the m-th OFDM symbol is subjected to power amplification.i 1 ，i 2 ，i 3 ，i 4 ，i 5 Representing nonlinear memory delay, the memory depth is K, soi 1 ，i 2 ，i 3 ，i 4 ，i 5 The range of the values of (2) is 0~K.
Step S200: for the frequency responseAnd linear frequency response->Obtaining->Estimate of +.>. In this embodiment, said->Is a channel influencing matrix. By obtaining->According to>、/>、/>、/>Relationships between, get->The estimated values of (2) are as follows: />Wherein, />in the form of a matrix of K+L cyclic shifts of the mth OFDM symbol, +.>For cyclic shift matrix-> First column,/->Is->Is used for the estimation of the estimated value of (a).
Step S300: based on the estimated valueFor the mth OFDM reception signal +.>Performing IFFT transform after equalization, and performing IFFT transform in timeDomain-obtained power amplifier-introduced multi-order nonlinear estimation value +.>。
Specifically, for the mth OFDM reception signalEqualizing to obtainPerforming IFFT transformation to obtainBy the above formula, the +.A matrix solution method can be obtained>Estimate of +.>。
Step S400: combining saidAnd a multi-order nonlinear estimation value +.>Reconstructing the self-interference signal and performing self-interference suppression.
Combining known transmitted signalsAnd->The reconstruction value of the mth OFDM received signal isCombine said->Obtaining the received residual self-interference frequency domain reconstruction signal as +.>Self-interference suppression of->Wherein (1)>Is a self-interference suppressed signal, +.>For receiving signals +.>Is an estimated self-interference signal.
Example 2
As shown in fig. 1, the embodiment of the invention further provides a self-interference joint suppression device suitable for full duplex communication, and the device may include a frequency response calculation module, an estimated value acquisition module, an equalization and nonlinear acquisition module and a self-interference signal suppression module.
The frequency response calculation module is configured to model an OFDM transmit signal, a multipath channel, and an OFDM receive signal, and obtain a frequency response corresponding to the multipath channel after FFT conversionAnd linear frequency response introduced by power amplifier。
The estimated value acquisition module is used for aiming at the frequency responseAnd linear frequency response->Obtaining a signal influence matrix from the time domain>Estimate of +.>。
An equalization and nonlinear acquisition module for acquiring the estimated valueFor the mth OFDM reception signal +.>Performing IFFT transformation after equalization to obtain multi-order nonlinear estimation value ++introduced by power amplifier in time domain>。
A self-interference signal suppression module for combining theAnd a multi-order nonlinear estimation value +.>Reconstructing the self-interference signal and performing self-interference suppression.
It is understood that what is not described in detail in this embodiment can be referred to the same or similar in the method embodiment.
Test case
In the simultaneous same-frequency full duplex self-interference suppression test scene, the performance test of simultaneous suppression of linear and nonlinear interference is carried out according to the method of the invention in the embodiment, two groups of data before and after interference suppression are transmitted to a PC from a digital baseband board to display signal spectrums, and interference suppression results are calculated.
The interference suppression performance test results are shown in fig. 2, the self-interference signal strength before suppression is-51.2 dBm, and the self-interference strength after suppression is reduced to-85 dBm. Since the linear interference in the pre-suppression band is stronger than the nonlinear interference in the band, the suppression of the nonlinear interference cannot be embodied, and the suppression capability of the nonlinear interference is measured by measuring the nonlinear interference intensity outside the band. At this time, the nonlinear interference intensity before the out-of-band rejection is-80.3 dBm, the noise floor at a distance of-87 dBm has a dry noise ratio of 6.7dB, and after the nonlinear interference rejection treatment, the nonlinear part out-of-band is basically eliminated, and the rejection amount is 5.3dB.
As shown by test results, the self-interference combined suppression method suitable for full duplex communication provided by the embodiment of the invention effectively improves the performance of linear and nonlinear self-interference suppression.
In summary, the embodiment of the invention considers the influence of multipath on the self-interference signal, firstly models the OFDM transmitting signal, the multipath channel and the OFDM receiving signal, and calculates the frequency response corresponding to the multipath channel from the frequency domain through FFT conversionAnd the linear frequency response introduced by the power amplifier +.>The method comprises the steps of carrying out a first treatment on the surface of the Then obtain the frequency response from the time domain +.>Linear frequency response introduced with power amplifier>Estimate of product +.>And receive signal +.>Performing IFFT transformation after equalization to obtain multi-order nonlinear estimation value ++introduced by power amplifier in time domain>Thereby completing the estimation of the linear and nonlinear factors; finally combine said->And a multi-order nonlinear estimation value +.>Reconstructing self-interference signal and performing self-interference suppressionAnd the frequency domain reconstruction and cancellation of the self-interference signal are completed, so that the performance of linear and nonlinear self-interference suppression is effectively improved.
It should be noted that any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and that scope of preferred embodiments of the present application includes additional implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.
Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (2)
1. A self-interference joint suppression method suitable for full duplex communication, the method comprising the steps of:
modeling an OFDM transmitting signal, a multipath channel and an OFDM receiving signal respectively, and obtaining a frequency response H corresponding to the multipath channel and a linear frequency response H introduced by a power amplifier after FFT conversion PA,1 ；
The OFDM transmitting signal is modeled as
Wherein,
w tx (n)＝w dac (n)+w tx_m (n)
where x (n) is the baseband transmit signal at time n, i 1 ，i 2 ，i 3 ，i 4 ，i 5 Representing the memory time delay, K being the memory depth; w (w) dac (n) discrete time form of quantization noise introduced by DAC, w tx_m (n) is a discrete time version of the transmitter thermal noise;
the model of the channel is
Wherein, the multipath number experienced by the downlink interference signal is L-1; h is a l Represents the channel gain on the first path, delta (n) represents the unit impulse response function, τ l Representing the transmission delay of the first path;
the OFDM received signal is modeled as
Wherein h is si (n) represents the equivalent self-interference channel after antenna self-interference suppression and radio frequency self-interference suppression, and the symbolRepresenting convolution operation, c si (n) and c sd (n) are the self-interference signals c respectively si (t) and the desired signal c sd A discrete-time representation of (t);
in ideal synchronization, the mth OFDM received signal Y si,m Can be expressed as
Wherein,
after the FFT conversion, obtain
Wherein F is a Fourier transform matrix; due to H t Andall are cyclic shift matrixes, so that the cyclic shift matrixes are obtained by simplification,
wherein h=fh t F T The frequency response corresponding to the multipath channel is a diagonal matrix;the linear frequency response introduced by the power amplifier is a diagonal array; x is X m ＝Fx m ；/>
For the frequency response H and the linear frequency response H PA,1 Obtaining signal impact matrix HH from time domain PA,1 Estimation of (1)Metering value
The HH PA,1 Is estimated as (1)
Wherein,
based on the estimated valueFor the mth OFDM received signal Y si,m Performing IFFT transformation after equalization to obtain multi-order nonlinear estimation value ++introduced by power amplifier in time domain>
For the mth OFDM received signal Y si,m Performing IFFT transformation after equalization to obtain
Wherein,is->A cyclic shift matrix formed by corresponding time domain impulse responses;
is expressed as a multi-order nonlinear estimation value of (a)
Combining saidAnd a multi-order nonlinear estimation value +.>Reconstructing a self-interference signal and performing self-interference suppression;
the reconstruction value of the mth OFDM received signal is
Combining saidObtaining the received residual self-interference frequency domain reconstruction signal as
Self-interference suppression as
2. A self-interference joint suppression device suitable for full duplex communication, the device comprising:
the frequency response calculation module is used for respectively modeling the OFDM transmitting signal, the multipath channel and the OFDM receiving signal, and obtaining the frequency response H corresponding to the multipath channel and the introduction of the power amplifier after FFT conversionLinear frequency response H PA,1 ；
The OFDM transmitting signal is modeled as
Wherein,
w tx (n)＝w dac (n)+w tx_m (n)
where x (n) is the baseband transmit signal at time n, i 1 ，i 2 ，i 3 ，i 4 ，i 5 Representing the memory time delay, K being the memory depth; w (w) dac (n) discrete time form of quantization noise introduced by DAC, w tx_m (n) is a discrete time version of the transmitter thermal noise;
the model of the channel is
Wherein, the multipath number experienced by the downlink interference signal is L-1; h is a l Represents the channel gain on the first path, delta (n) represents the unit impulse response function, τ l Representing the transmission delay of the first path;
the OFDM received signal is modeled as
Wherein h is si (n) represents the equivalent self-interference channel after antenna self-interference suppression and radio frequency self-interference suppression, and the symbolRepresenting convolution operation, c si (n) and c sd (n) are the self-interference signals c respectively si (t) and the desired signal c sd A discrete-time representation of (t);
in ideal synchronization, the mth OFDM received signal Y si,m Can be expressed as
Wherein,
after the FFT conversion, obtain
Wherein F is a Fourier transform matrix; due to H t Andall are cyclic shift matrixes, so that the cyclic shift matrixes are obtained by simplification,
wherein h=fh t F T The frequency response corresponding to the multipath channel is a diagonal matrix;the linear frequency response introduced by the power amplifier is a diagonal array; x is X m ＝Fx m ；/>
An estimated value acquisition module for the frequency response H and the linear frequency response H PA,1 Obtaining signal impact matrix HH from time domain PA,1 Estimate of (2)
The HH PA,1 Is estimated as (1)
Wherein,
an equalization and nonlinear acquisition module for acquiring the estimated valueFor the mth OFDM received signal Y si,m Performing IFFT transformation after equalization to obtain multi-order nonlinear estimation value ++introduced by power amplifier in time domain>
For the mth OFDM received signal Y si,m Performing IFFT transformation after equalization to obtain
Wherein,is->A cyclic shift matrix formed by corresponding time domain impulse responses;
is expressed as a multi-order nonlinear estimation value of (a)
A self-interference signal suppression module for combining theAnd a multi-order nonlinear estimation value +.>Reconstructing the self-interference signal and proceedingSuppression of self-interference;
the reconstruction value of the mth OFDM received signal is
Combining saidObtaining the received residual self-interference frequency domain reconstruction signal as
Self-interference suppression as
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015021481A2 (en) * | 2013-08-09 | 2015-02-12 | The Board Of Trustees Of The Leland Stanford Junior University | Self-interference cancellation |
| CN105978602A (en) * | 2016-04-13 | 2016-09-28 | 电子科技大学 | Method and device for simultaneous same-frequency full-duplex nonlinear interference suppression |
| CN111092833A (en) * | 2019-12-30 | 2020-05-01 | 哈尔滨工程大学 | Full-duplex underwater acoustic communication expectation channel and self-interference channel joint estimation method |
| CN112290974A (en) * | 2019-07-11 | 2021-01-29 | 中移(苏州)软件技术有限公司 | Self-interference cancellation realization method and device and storage medium |
| CN113904906A (en) * | 2021-09-30 | 2022-01-07 | 电子科技大学 | Method for realizing frequency domain nonlinear continuous interference suppression |
| CN115001913A (en) * | 2022-08-02 | 2022-09-02 | 北京理工大学 | Full-duplex frequency domain self-interference elimination method based on digital assistance |
| CN115865124A (en) * | 2022-11-03 | 2023-03-28 | 北京大学 | Method for eliminating full-duplex radio frequency self-interference |
| CN116346155A (en) * | 2023-02-24 | 2023-06-27 | 西南交通大学 | Full duplex receiving and transmitting system and method based on time delay configuration and self-interference suppression |
-
2023
- 2023-11-09 CN CN202311483949.7A patent/CN117220714B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015021481A2 (en) * | 2013-08-09 | 2015-02-12 | The Board Of Trustees Of The Leland Stanford Junior University | Self-interference cancellation |
| CN105978602A (en) * | 2016-04-13 | 2016-09-28 | 电子科技大学 | Method and device for simultaneous same-frequency full-duplex nonlinear interference suppression |
| CN112290974A (en) * | 2019-07-11 | 2021-01-29 | 中移(苏州)软件技术有限公司 | Self-interference cancellation realization method and device and storage medium |
| CN111092833A (en) * | 2019-12-30 | 2020-05-01 | 哈尔滨工程大学 | Full-duplex underwater acoustic communication expectation channel and self-interference channel joint estimation method |
| CN113904906A (en) * | 2021-09-30 | 2022-01-07 | 电子科技大学 | Method for realizing frequency domain nonlinear continuous interference suppression |
| CN115001913A (en) * | 2022-08-02 | 2022-09-02 | 北京理工大学 | Full-duplex frequency domain self-interference elimination method based on digital assistance |
| CN115865124A (en) * | 2022-11-03 | 2023-03-28 | 北京大学 | Method for eliminating full-duplex radio frequency self-interference |
| CN116346155A (en) * | 2023-02-24 | 2023-06-27 | 西南交通大学 | Full duplex receiving and transmitting system and method based on time delay configuration and self-interference suppression |
Non-Patent Citations (4)
| Title |
|---|
| A Full-Duplex Transceiver With Two-Stage Analog Cancellations for Multipath Self-Interference;Ying Liu 等;《IEEE Transactions on Microwave Theory and Techniques》;全文 * |
| 全双工无线通信中射频自干扰抑制的凸优化分析;周娟 等;《现代电子技术》;全文 * |
| 带内全双工通信中的宽带自适应光学自干扰消除关键技术;张云昊;《CNKI博士学位论文全文库》;全文 * |
| 时间异步全双工数字域分段卷积自干扰抑制技术;李彤 等;《电子与信息学报》;全文 * |
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