US9270308B2 - Adaptive radio-frequency interference cancelling device, method, and receiver - Google Patents

Adaptive radio-frequency interference cancelling device, method, and receiver Download PDF

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US9270308B2
US9270308B2 US14/790,958 US201514790958A US9270308B2 US 9270308 B2 US9270308 B2 US 9270308B2 US 201514790958 A US201514790958 A US 201514790958A US 9270308 B2 US9270308 B2 US 9270308B2
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frequency
amplitude
reference signal
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US20150311928A1 (en
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Teyan CHEN
Yinggang Du
Sheng Liu
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Huawei Technologies Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/06Receivers
    • H04B1/10Means associated with receiver for limiting or suppressing noise or interference
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/06Receivers
    • H04B1/10Means associated with receiver for limiting or suppressing noise or interference
    • H04B1/109Means associated with receiver for limiting or suppressing noise or interference by improving strong signal performance of the receiver when strong unwanted signals are present at the receiver input
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/38Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving
    • H04B1/40Circuits
    • H04B1/50Circuits using different frequencies for the two directions of communication
    • H04B1/52Hybrid arrangements, i.e. arrangements for transition from single-path two-direction transmission to single-direction transmission on each of two paths or vice versa
    • H04B1/525Hybrid arrangements, i.e. arrangements for transition from single-path two-direction transmission to single-direction transmission on each of two paths or vice versa with means for reducing leakage of transmitter signal into the receiver

Definitions

  • the present invention relates to radio full duplex system technologies and, in particular, to an adaptive radio-frequency cancelling device and method, and a receiver.
  • a communication node such as a base station (Base Station, BS) or an access point (Access Point, AP), a relay station (Relay Station, RS), and a user equipment (User Equipment, UE) etc. usually has capability of transmitting its own signals and receiving signals of other communicating nodes. Since a radio signal is attenuated greatly in a radio communication channel, and compared to the transmitted signals, signals received from a communication peer have become very weak when arriving at a receiving end.
  • radio signals are usually transmitted and received on different frequencies or in different time periods.
  • frequency division duplex Frequency Division Duplex, FDD
  • transmission and reception are performed by using different frequency bands separated with a guard band.
  • time division duplex Time Division Duplex, TDD
  • transmission and reception are performed by using different time periods separated with a guard interval.
  • the guard band in FDD and the guard interval in TDD are both used for ensuring that the receiving and transmitting are fully isolated, to prevent the transmitting from interfering the receiving.
  • wireless full duplex technology can simultaneously perform receiving and transmitting on a same radio channel.
  • frequency spectrum efficiency of wireless full duplex is double of FDD or TDD technology.
  • self-interference Self-interface
  • FIG. 1 shows a structure of an existing wireless full duplex communication system, including a transmitter and a receiver.
  • the transmitter includes a transmission digital processor, a digital-to-analog converter, an up-converter, a power amplifier, and a transmitting antenna.
  • the receiver includes a receiving antenna, a radio-frequency interference cancelling device, a low noise amplifier (Low Noise Amplifier, LNA), a down-converter, an analog-to-digital converter, a digital interference cancelling device, and a reception digital processor.
  • Radio-frequency received signals received by the receiver includes self-interference signals and useful signals, and the power of the self-interference signals is much higher than that of the useful signals.
  • the radio-frequency interference cancelling device takes a radio-frequency signal, which is input after being amplified by the power amplifier of the transmitter, as a reference signal, estimates a channel parameter from a local transmitting antenna to a receiving antenna, such as amplitude and phase etc, and adjusts the reference signal to make it as close as possible to the self-interference signal consisted in the received signal, so as to cancel the local self-interference signal received by the receiving antenna in analog domain.
  • the radio-frequency interference cancelling device in the existing receiver performs corresponding adjustment of the radio-frequency reference signal, including amplitude and phase etc, mainly based on a received signal strength indicator (Received Signal Strength Indicator, RSSI) method, and then performs cancellation operation on the radio-frequency received signal.
  • RSSI Received Signal Strength Indicator
  • FIG. 2 shows a structure of an existing radio-frequency interference cancelling device based on RSSI detection, including an amplitude phase adjusting module, a subtractor, an RSSI detecting module, and an amplitude phase search processing module.
  • the radio-frequency reference signal is adjusted by the amplitude phase adjusting module and then is cancelled from the radio-frequency received signal.
  • the radio-frequency residual signal is detected by the RSSI detection module.
  • the amplitude phased search processing module processes a feedback RSSI detection result using an amplitude and phase search algorithm, generates an amplitude phase control signal, adjusts a search step size, and updates the amplitude and the phase for the next adjustment.
  • the RSSI detection module can only obtain an absolute value of the adjusted search step size, the amplitude phase search processing module further needs to search for an orientation for adjustment, to determine whether to increase or decrease the current amplitude and phase by the corresponding step size.
  • the orientations of the amplitude and the phase need to be simultaneously searched and determined. Therefore, this amplitude phase search algorithm converges slowly and is only applicable to a situation with few parameters to be adjusted, thus it cannot follow parameters variation in time due to low convergence speed, and estimation accuracy thereof is affected.
  • an objective of the present invention is to provide an adaptive radio-interference cancelling device and method, a receiver and a wireless full duplex communication system, to solve the technology problems of slow convergence speed and inaccurate estimation on the amplitude and the phase of the self-interference signal relative to the radio-frequency reference signal, which exist in the existing self-interference cancellation search method based on RSSI detection.
  • the adaptive radio-frequency interference cancelling device includes:
  • an amplitude phase adjusting module configured to adjust an amplitude and a phase of a radio-frequency reference signal, output a radio-frequency adjustment signal to a subtractor, to enable the radio-frequency adjustment signal to converge to a self-interference signal in a radio-frequency received signal;
  • the subtractor configured to receive the radio-frequency received signal and the radio-frequency adjustment signal output by the amplitude phase adjusting module ( 1 ), and output a radio-frequency residual signal, where the radio-frequency residual signal is a difference signal between the radio-frequency received signal and the radio-frequency adjustment signal;
  • a baseband extracting and filtering module configured to receive the radio-frequency reference signal and the radio-frequency residual signal output by the subtractor, and extract a baseband signal, perform least mean squares adaptive filtering processing on the baseband signal to obtain an amplitude phase control, and output to the amplitude phase adjusting module, where the amplitude phase control signal is used to control the amplitude phase adjusting module to adjust the amplitude and the phase of the radio-frequency reference signal.
  • the baseband extracting and filtering module includes a first multiplier, a first low-pass filter, a phase shifter, a second multiplier, a second low-pass filter, and a least mean squares adaptive filtering processing module
  • the radio-frequency reference signal is split into two signals, of which one is mixed with the radio-frequency residual signal by the first multiplier and then passes through the first low-pass filter to obtain a first baseband product signal
  • the other split radio-frequency reference signal is phase shifted by 90 degrees via the phase shifter, mixed with the radio-frequency residual signal by the second multiplier and filtered by the second low-pass filter to obtain a second baseband product signal
  • the first baseband product signal and the second baseband product signal are input to the least mean squares adaptive filtering processing module to generate the amplitude phase control signal used to control the amplitude phase adjusting module.
  • the amplitude phase control signal is a adjustment coefficient signal
  • the amplitude phase adjusting module adjusts the amplitude and the phase of the radio-frequency reference signal according to the received adjustment coefficient signal.
  • the adaptive radio-frequency interference cancelling method includes:
  • the radio-frequency residual signal is a difference signal between the radio-frequency received signal and the radio-frequency adjustment signal
  • the radio-frequency residual signal and the radio-frequency reference signal receives the radio-frequency residual signal and the radio-frequency reference signal, extracting a baseband signal, and performing least mean squares adaptive filtering processing on the baseband signal to obtain an amplitude phase control signal, where the amplitude phase control signal is used to control adjustment of the amplitude and the phase of the radio-frequency reference signal.
  • the receiving the radio-frequency residual signal and the radio-frequency reference signal, extracting a baseband signal, and performing least mean squares adaptive filtering processing on the baseband signal to obtain an amplitude phase control signal includes:
  • the receiver includes a receiving antenna, a low noise amplifier, a down-converter, an analog-to-digital converter, a digital interference cancelling device and a reception digital signal processor, the receiver further includes an adaptive radio-frequency interference cancelling device, the receiving antenna, the adaptive radio-frequency interference cancelling device, the low noise amplifier, the down-converter, the analog-to-digital converter, the digital interference cancelling device and the reception digital signal processor are connected sequentially, the adaptive radio-frequency interference cancelling device is further input with a radio-frequency reference signal from a transmitter and the digital interference cancelling device is further input with a digital reference signal from the transmitter.
  • the wireless full duplex communication system includes a transmitter and the aforesaid receiver, the transmitter includes a transmission digital signal processor, a digital-to-analog converter, an up-converter, a power amplifier and a transmitting antenna that are connected sequentially.
  • a radio-frequency reference signal output by the power amplifier is input to the adaptive radio-frequency interference cancelling device of the receiver, and a digital reference signal output by the transmission digital signal processor is input to the digital interference cancelling device of the receiver.
  • the present invention adopts a radio-frequency interference cancellation solution based on least mean squares (Least mean squares, LMS) adaptive filtering algorithm. Since the LMS adaptive filtering algorithm is executed in radio-frequency analog domain, it cannot directly sample a high-frequency radio-frequency signal, so the algorithm can only be implemented in digital baseband generally. Therefore in the present invention, the baseband extracting and filtering module directly extracts baseband signals from the radio-frequency reference signal and the radio-frequency residual signal, estimates the amplitude and the phase of the self-interference signal relative to the reference signal using the LMS adaptive filtering algorithm to generate a amplitude phase control signal, so as to adjust the amplitude and the phase of the radio-frequency reference signal and make it converge to the self-reference signal in the radio-frequency received signal. Compared to the existing algorithm based on RSSI detection, the LMS adaptive filtering algorithm has a faster convergence speed and provides a more accurate estimated result.
  • LMS least mean squares
  • FIG. 1 is a structural diagram of an existing wireless full duplex communication system
  • FIG. 2 is a structural diagram of an existing radio-frequency interference cancelling device based on RSSI detection
  • FIG. 3 is a structural diagram of an adaptive radio-frequency interference cancelling device according to a first embodiment of the present invention
  • FIG. 4 is a structural diagram of an adaptive radio-frequency interference cancelling device according to a second embodiment of the present invention.
  • FIG. 5 is an MSE performance comparing diagram of an LMS adaptive filtering algorithm and an amplitude phase search algorithm based on RSSI detection;
  • FIG. 6 is a flow diagram of an adaptive radio-frequency interference cancelling method according to a third embodiment of the present invention.
  • FIG. 7 is a flow diagram of an adaptive radio-frequency interference cancelling method according to a fourth embodiment of the present invention.
  • FIG. 8 is a structural diagram of a receiver according to a fifth embodiment of the present invention.
  • FIG. 9 is a structural diagram of a wireless full duplex communication system according to a sixth embodiment of the present invention.
  • FIG. 3 shows a structure of an adaptive radio-frequency interference cancelling device according to a first embodiment of the present invention. Only parts related to the embodiment of the invention are shown for convenience of explanation.
  • an amplitude phase adjusting module 1 configured to adjust an amplitude and a phase of a radio-frequency reference signal, output a radio-frequency adjustment signal to a subtractor 2 , to enable the radio-frequency adjustment signal to converge to a self-interference signal in a radio-frequency received signal;
  • the subtractor 2 configured to receive the radio-frequency received signal and the radio-frequency adjustment signal output by the amplitude phase adjusting module 1 , and output a radio-frequency residual signal, where the radio-frequency residual signal is a difference signal between the radio-frequency received signal and the radio-frequency adjustment signal;
  • a baseband extracting and filtering module 3 configured to receive the radio-frequency reference signal and the radio-frequency residual signal output by the subtractor 2 , and extract baseband signals, perform least mean squares adaptive filtering processing on the baseband signals to obtain an amplitude phase control signal and output to the amplitude phase adjusting module 1 , where the amplitude phase control signal is used to control the amplitude phase adjusting module 1 to adjust the amplitude and the phase of the radio-frequency reference signal.
  • the baseband extracting and filtering module 3 extracts base signals from the radio-frequency reference signal and radio-frequency residual signal, and processes the baseband signals using the LMS adaptive filtering algorithm to obtain the amplitude phase control signal, and then, controls the amplitude phase control module 1 according to the amplitude phase control signal to complement gradual adjustment of the amplitude and the phase of the radio-frequency reference signal, to enable the radio-frequency reference signal to converge to the self-interference signal in the radio-frequency received signal through continuous iteration control.
  • the LMS adaptive filtering algorithm has a faster convergence speed and provides a more accurate estimation result.
  • FIG. 4 shows a structure of an adaptive radio-frequency interference cancelling device according to a second embodiment of the present invention. Only parts related to this embodiment of the present invention are shown for convenience of explanation.
  • the adaptive radio-frequency interference cancelling device includes an amplitude phase adjusting module 1 , a subtractor 2 , and a baseband extracting and filtering module 3 as described in the first embodiment.
  • the baseband extracting and filtering module 3 includes a first multiplier 31 , a first low-pass filter 32 , a phase shifter 33 , a second multiplier 34 , a second low-pass filter 35 and a least mean squares adaptive filtering processing module 36 .
  • the radio-frequency reference signal is split into two signals, of which one is mixed with the radio-frequency residual signal by the first multiplier 31 and then passes through the first low-pass filter 32 to obtain a first baseband product signal, while the other split radio-frequency reference signal is phase-shifted by 90 degrees via the phase shifter 33 , and then is mixed with the radio-frequency residual signal by the second multiplier 34 and is filtered by the second low-pass filter 35 to obtain a second baseband product signal.
  • the first baseband product signal and the second baseband product signal are input to the least mean squares adaptive filtering processing module 36 to generate an amplitude phase control signal used to control the amplitude phase adjusting module 1 .
  • This embodiment discloses a preferred structure of the baseband extracting and filtering module 3 based on the first embodiment.
  • adjustment of the amplitude and the phase is based on the products of the radio-frequency reference signal X and the radio-frequency residual signal ⁇ .
  • the radio-frequency reference signal X is split into two signals, one of which is phase-shifted by 90 degrees.
  • the two split signals of the radio-frequency reference signal are mixed with the radio-frequency residual signal c and pass through the low-pass filters to obtain the baseband products of the two signals.
  • the amplitude and the phase of the self-interference signal relative to the reference signal i.e.
  • adjustment coefficient W of the amplitude and the phase are estimated using the LMS adaptive filtering algorithm, to complete corresponding adjustment of the amplitude and the phase of the radio-frequency reference signal X.
  • the adjusted radio-frequency signal is cancelled from the radio-frequency received signal d again to obtain a new radio-frequency residual signal c.
  • I/Q signal I/Q signal respectively
  • is carrier frequency
  • T represents matrix transposition
  • I ref cos( ⁇ t)+Q ref sin( ⁇ t) is an original signal of the radio-frequency reference signal
  • ⁇ I ref sin( ⁇ t)+Q ref cos( ⁇ t) is the radio-frequency reference signal phase-shifted by 90 degrees.
  • the radio-frequency received signal d k can be expressed as
  • the radio-frequency residual signal ⁇ k and the radio-frequency reference signal X k are mixed, it can be noticed that, besides the baseband signal, the product does not contain any terms at fundamental frequency ⁇ , but only contains second harmonic terms at frequency 2 ⁇ . Therefore a signal corresponding to the product item is low-pass filtered to obtain the baseband signal.
  • W k+1 is linear iteration of W k .
  • the vector [e 1 , e 2 ] T in the iteration expression of W k+1 will decreases gradually, and W k+1 will converge to W k .
  • the filtering coefficient for the least mean squares adaptive filtering processing module can be adjusted accordingly, so as to achieve the objective of adjusting the reference signal to minimize ⁇ k .
  • FIG. 5 shows MSE (Mean Squared Error) performance comparison of the two algorithms.
  • a noise-to-signal ratio SNR 85 db, ⁇ is selected as 0.6, and 12-bit quantization is performed to the filtering coefficient of the least mean squares adaptive filtering processing module.
  • SNR 85 db
  • is selected as 0.6
  • 12-bit quantization is performed to the filtering coefficient of the least mean squares adaptive filtering processing module.
  • this embodiment provides a specific baseband extracting manner.
  • the baseband signal is known at the transmitter side, considering that a non-linear factor of a power amplifier of the transmitter will influence an effect of self-interference elimination, therefore in simulating interference elimination, an amplified radio-frequency signal is usually used as a reference signal, i.e. the radio-frequency reference signal in this embodiment.
  • a reference signal i.e. the radio-frequency reference signal in this embodiment.
  • a local oscillator signal needs to be generated, which is complicated to implement, and moreover, may introduce non-linear factors, such as I/Q imbalance, and affect the converge speed of the algorithm and the accuracy of estimation.
  • the radio-frequency reference signal is directly split into two signals, one of which is phase-shifted by 90 degrees, and then the two split radio-frequency reference signals are mixed with the radio-frequency residual signal and then low-pass filtered to filter out all harmonic components, so as to obtain the baseband signals. Therefore, during iteration, the least mean squares adaptive filtering processing module can operate in the baseband, which facilitates digital computation and control and realizes a purpose of controlling convergence of the radio-frequency reference signal. Since down conversion needs not to be performed in this embodiment, implementation complexity is reduced, and an influence of the non-linear factors, such as I/Q imbalance, to the algorithm is avoided.
  • FIG. 6 shows a flow of an adaptive radio-frequency interference cancelling method according to a third embodiment of the present invention. Only parts related to the embodiment of the present invention are shown for convenience of explanation.
  • Step S 601 Adjust an amplitude and a phase of a radio-frequency reference signal and output a radio-frequency adjustment signal, to enable the radio-frequency adjustment signal to converge to a self-interference signal in a radio-frequency received signal.
  • Step S 602 Obtain a radio-frequency residual signal, where the radio-frequency residual signal is a difference signal between the radio-frequency received signal and the radio-frequency adjustment signal.
  • Step S 603 Receive the radio-frequency residual signal and the radio-frequency reference signal, and extract baseband signals, perform least mean squares adaptive filtering processing on the baseband signals to obtain an amplitude phase control signal, where the amplitude phase control signal is used to control adjustment of the amplitude and the phase of the radio-frequency reference signal.
  • Steps S 601 -S 603 of this embodiment are correspondingly implemented by the amplitude phase adjusting module 1 , the subtractor 2 , and the baseband extracting and filtering module 3 .
  • a feedback loop is formed; in step S 603 , the baseband signals are extracted from the radio-frequency residual signal and the radio-frequency reference signal, and the amplitude phase control signal is obtained according to the LMS adaptive filtering algorithm to control and adjust the amplitude and the phase of the radio-frequency reference signal described in step S 601 , and then the next iteration is performed until the radio-frequency reference signal converges to the self-interference signal of the radio-frequency received signal.
  • the LMS adaptive filtering algorithm of this embodiment has a faster convergence speed and provides a more accurate estimation result.
  • FIG. 7 shows a flow of an adaptive radio-frequency interference cancelling method according to a fourth embodiment of the present invention. Only parts related to the embodiment of the invention are shown for convenience of explanation.
  • Step S 701 Adjust an amplitude and a phase of a radio-frequency reference signal and output a radio-frequency adjustment signal, to enable the radio-frequency adjustment signal to converge to a self-interference signal in a radio-frequency received signal.
  • Step S 702 Obtain a radio-frequency residual signal, where the radio-frequency residual signal is a difference signal between the radio-frequency received signal and the radio-frequency adjustment signal.
  • Step S 703 Split the radio-frequency reference signal into two signals, mix one of the two split signals with the radio-frequency residual signal and perform low-pass filtering to obtain a first baseband product signal.
  • Step S 704 Phase-shift the other split radio-frequency reference signal by 90 degrees, mix with the radio-frequency residual signal and perform low-pass filtering to obtain a second baseband product signal.
  • Step S 705 Perform least mean squares adaptive filtering processing on the first baseband product signal and the second baseband product signal to generate an amplitude phase control signal, where the amplitude phase control signal is used to control adjustment of the amplitude and the phase of the radio-frequency reference signal.
  • step S 703 -S 705 above are detailed and preferred steps of step S 603 in the third embodiment.
  • adjustment of the amplitude and the phase is based on the products of the radio-frequency reference signal X and the radio-frequency residual signal ⁇ .
  • the radio-frequency reference signal is split into two signals, one of which is phase-shifted by 90 degrees, the two split radio-frequency reference signals are then mixed with the radio-frequency residual signal and pass through low-pass filters to obtain the baseband products of the two signals. Then, the amplitude and the phase of the self-interference signal relative to the reference signal, i.e.
  • adjustment coefficient of the amplitude and the phase are estimated using the LMS adaptive filtering algorithm to complete corresponding adjustment of the amplitude and the phase of the radio-frequency reference signal X.
  • the adjusted radio-frequency signal is cancelled from the radio-frequency received signal again and a new radio-frequency residual signal is obtained to perform the next iteration.
  • the radio-frequency reference signal is directly split into two signals, one of which is phase-shifted by 90 degrees, and then the two split radio-frequency reference signals are mixed with the radio-frequency residual signal and then low-pass filtered to filter out all harmonic components, to obtain the baseband signals.
  • the least mean squares adaptive filtering processing module can operate in the baseband, which facilitates digital computation and control and realizes a purpose of controlling convergence of the radio-frequency reference signal. Since down conversion needs not to be performed in this embodiment, implementation complexity is reduced, and an influence of the non-linear factors, such as I/Q imbalance, to the algorithm is avoided.
  • FIG. 8 shows a structure of a receiver according to a fifth embodiment of the invention. Only parts related to the embodiment of the present invention are shown for convenience of explanation.
  • the receiver includes a receiving antenna 41 , a low noise amplifier 43 , a down-converter 44 , an analog-to-digital converter 45 , a digital interference cancelling device 46 , a reception digital signal processor 47 , and an adaptive radio-frequency interference cancelling device 42 according to the first embodiment or the second embodiment.
  • the receiving antenna 41 , the adaptive radio-frequency interference cancelling device 42 , the low noise amplifier 43 , the down-converter 44 , the analog-to-digital converter 45 , the digital interference cancelling device 46 , and the reception digital signal processor 47 are connected sequentially.
  • the adaptive radio-frequency interference cancelling device 42 is further input with a radio-frequency reference signal from a transmitter, and the digital interference cancelling device 46 is further input with a digital reference signal from the transmitter.
  • the radio-frequency received signal received by the receiver of the embodiment includes a self-interference signal and a useful signal.
  • the adaptive radio-frequency interference cancelling device 42 of the embodiment achieves adjustment of an amplitude and a phase of the radio-frequency reference signal using an LMS adaptive filtering algorithm to enable the radio-frequency reference signal to converge to the self-interference signal in the radio-frequency received signal. Therefore, after converging, the signal output by the adaptive radio-frequency interference cancelling device 42 is the useful signal, thus self-interference elimination is achieved.
  • the adaptive radio-frequency interference cancelling device 42 in this embodiment adopts the LMS adaptive filtering algorithm, which has a faster convergence speed and provides a more accurate estimation result compared to the amplitude phase search algorithm based on RSSI detection adopted by an existing radio-frequency interference cancelling device.
  • FIG. 9 shows a structure of a wireless full duplex communication system according to a sixth embodiment of the invention. Only parts related to the present embodiment of the present invention are shown for convenience of explanation.
  • the wireless full duplex communication system includes a transmitter 50 and a receiver 40 according to the fifth embodiment.
  • the transmitter includes a transmission digital signal processor 51 , a digital-to-analog converter 52 , an up-converter 53 , a power amplifier 54 and a transmitting antenna 55 which are connected sequentially.
  • a radio-frequency reference signal output by the power amplifier 54 is input to the adaptive radio-frequency interference cancelling device 42 of the receiver, and a digital reference signal output by the transmission digital signal processor 51 is input to the digital interference cancelling device 46 of the receiver.
  • the wireless full duplex communication system of this embodiment is composed of the transmitter 50 and the receiver 40 .
  • the adaptive radio-frequency interference cancelling device 42 in the receiver 40 adopts the LMS adaptive filtering algorithm, while a radio-frequency interference cancelling module in an existing receiver adopts the amplitude phase search algorithm based on RSSI detection.
  • the receiver of this embodiment has a faster convergence speed and provides a more accurate estimation result.
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CN201310002205.9A CN103916148B (zh) 2013-01-05 2013-01-05 一种自适应射频干扰抵消装置、方法、接收机及通信系统
PCT/CN2014/070181 WO2014106488A1 (fr) 2013-01-05 2014-01-06 Dispositif et procédé de suppression auto-adaptative du brouillage radiofréquence

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160105213A1 (en) * 2013-05-21 2016-04-14 The Regents Of The University Of California Methods for cancellation of radio interference in wireless communication systems
RU168164U1 (ru) * 2016-08-12 2017-01-23 Общество с ограниченной ответственностью "ТехГеоБур" Устройство согласования наземное
US20170063427A1 (en) * 2015-08-27 2017-03-02 Qualcomm Incorporated Analog interference cancelation for shared antennas
US20170111155A1 (en) * 2014-06-26 2017-04-20 Huawei Technologies Co., Ltd. Interference cancellation apparatus and method
CN110133425A (zh) * 2019-06-10 2019-08-16 集美大学 一种海底电缆故障信号滤波方法、终端设备及存储介质
US10791006B1 (en) * 2019-09-17 2020-09-29 Realtek Semiconductor Corp. Electronic system with RFI cancelation mechanism and related RFI cancelation method

Families Citing this family (40)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8130880B1 (en) 2007-05-23 2012-03-06 Hypress, Inc. Wideband digital spectrometer
US9831898B2 (en) * 2013-03-13 2017-11-28 Analog Devices Global Radio frequency transmitter noise cancellation
CN105763494B (zh) * 2014-12-18 2019-02-15 北京科技大学 一种自适应无线全双工模拟自干扰消除方法及系统
US9590673B2 (en) * 2015-01-20 2017-03-07 Qualcomm Incorporated Switched, simultaneous and cascaded interference cancellation
CN107223314B (zh) * 2015-02-12 2019-07-19 华为技术有限公司 具有自适应接收功率降低的全双工无线电
CN106209157A (zh) * 2015-05-07 2016-12-07 武汉理工大学 一种应用于通信设备的抗干扰接收器
WO2016191992A1 (fr) 2015-05-30 2016-12-08 华为技术有限公司 Dispositif et procédé d'annulation de signal brouilleur
CN105119629B (zh) * 2015-07-10 2018-04-06 惠州Tcl移动通信有限公司 同时同频全双工终端和系统
US9966993B2 (en) * 2015-07-15 2018-05-08 Cisco Technology, Inc. Interference suppression in full duplex cable network environments
US10333581B2 (en) * 2015-07-31 2019-06-25 Lg Electronics Inc. Method for FDR scheme-using communication device transmitting reference signals for estimating channel of non-linear self-interference signal
CN105099580B (zh) * 2015-08-26 2018-01-09 北京朗波芯微技术有限公司 正交失配的校准系统及方法、射频前端芯片
US9774364B2 (en) * 2015-09-04 2017-09-26 Futurewei Technologies, Inc. Interference phase estimate system and method
US9654158B2 (en) 2015-10-20 2017-05-16 The Aerospace Corporation Circuits and methods for reducing an interference signal that spectrally overlaps a desired signal
EP3367595B1 (fr) * 2015-10-21 2021-03-10 LG Electronics Inc. Procédé pour commander un signal de duplication d'auto-brouillage pour éliminer un auto-brouillage dans un environnement prenant en charge une communication radio duplex (fdr), et appareil associé
CN105530059A (zh) * 2015-12-10 2016-04-27 南方科技大学 通信方法及通信系统
US10666305B2 (en) 2015-12-16 2020-05-26 Kumu Networks, Inc. Systems and methods for linearized-mixer out-of-band interference mitigation
US9800275B2 (en) * 2015-12-16 2017-10-24 Kumu Networks, Inc. Systems and methods for out-of band-interference mitigation
CN105763221B (zh) * 2016-02-06 2019-02-26 青岛海信移动通信技术股份有限公司 一种射频电路及干扰抑制方法
US10340962B2 (en) 2016-05-06 2019-07-02 The Aerospace Corporation Amplitude domain circuits and methods for reducing an interference signal that spectrally overlaps a desired signal
CN105898783A (zh) * 2016-06-07 2016-08-24 北京小米移动软件有限公司 无线全双工通信自干扰信号的处理方法及装置
US10666370B2 (en) * 2016-06-10 2020-05-26 Apple Inc. Multiple modulated spur cancellation apparatus
WO2018027797A1 (fr) 2016-08-11 2018-02-15 Panasonic Intellectual Property Corporation Of America Station de base, équipement d'utilisateur, et procédé de communication sans fil
EP3602776B1 (fr) 2017-03-27 2021-04-21 Kumu Networks, Inc. Mélangeur à linéarité améliorée
CN106972871B (zh) * 2017-03-30 2018-11-27 广东欧珀移动通信有限公司 全双工无线通信装置、方法和移动终端
CN107947810B (zh) * 2017-11-28 2020-05-05 重庆邮电大学 一种全双工恒幅调制系统的数字域干扰消除方法
CN108183716B (zh) * 2017-12-28 2020-06-30 浙江中智海通信科技有限公司 无线数据通信同频干扰抑制接收机架构及其工作方法
CN108449112A (zh) * 2018-06-13 2018-08-24 成都信息工程大学 一种降低射频干扰抵消中放大器引入噪声系数的装置
CN110830076B (zh) * 2018-08-13 2021-08-20 瑞昱半导体股份有限公司 能够抵销内部信号泄漏的无线收发机
CN109547040B (zh) * 2018-11-13 2021-01-26 西安邮电大学 一种防干扰信号输送方法
CN109450487B (zh) * 2018-12-29 2020-02-07 南京天际易达通信技术有限公司 一种基于能量检测的中频信号幅度估计方法
CN111756392B (zh) * 2019-03-26 2022-04-01 达发科技(苏州)有限公司 应用于以太网的射频干扰检测与消除系统
CN110350945B (zh) * 2019-06-28 2021-10-08 清远职业技术学院 一种高清全双工信号收发基站
CN110365362A (zh) * 2019-06-28 2019-10-22 清远职业技术学院 一种基于高速全双工收发基站的智能终端
CN112564733B (zh) * 2019-09-25 2022-03-11 瑞昱半导体股份有限公司 具射频干扰消除机制的电子系统及相关射频干扰消除方法
US11212015B2 (en) 2020-05-19 2021-12-28 The Aerospace Corporation Interference suppression using machine learning
CA3194642A1 (fr) * 2022-06-09 2023-12-09 Her Majesty The Queen In The Right Of Canada As Represented By The Minister Of Industry Annulation d'autobrouillage dans les emetteurs-recepteurs rf
CN115333552B (zh) * 2022-08-09 2023-12-05 中新国际联合研究院 一种基于无线通信与射频感知的感知通信一体化方法
CN116073853A (zh) * 2022-12-30 2023-05-05 北京交通大学 一种射频自干扰消除系统及方法
CN115882882A (zh) * 2023-02-13 2023-03-31 天津七一二通信广播股份有限公司 小数延时预失真自阻塞干扰抵消方法及系统
CN117240382A (zh) * 2023-08-29 2023-12-15 中国人民解放军国防科技大学 一种主动抗饱和频谱感知接收系统及方法

Citations (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006068635A1 (fr) 2004-11-15 2006-06-29 Qualcomm Incorporated Filtre adaptatif pour rejet de signal de fuite de transmission
EP1724946A1 (fr) 2005-05-20 2006-11-22 British Broadcasting Corporation Amélioration du répeteur sur canal
EP1841084A2 (fr) 2006-03-31 2007-10-03 NTT DoCoMo, Inc. Appareil de communication radio et procédé de communication radio
US20070274372A1 (en) 2006-05-29 2007-11-29 Tokyo Institute Of Technology Radio communication apparatus and radio communication method
US20070286264A1 (en) * 2006-06-07 2007-12-13 Nokia Corporation Interference reduction in spread spectrum receivers
US20080089397A1 (en) 2006-10-17 2008-04-17 Interdigital Technology Corporation Transceiver with hybrid adaptive self-interference canceller for removing transmitter generated noise to prevent modem jamming
CN101359956A (zh) 2008-09-12 2009-02-04 北京创毅视讯科技有限公司 一种直放站
CN101420246A (zh) 2008-11-21 2009-04-29 华为技术有限公司 一种收发信机抵消发射干扰的方法、设备及收发信机
US20090125793A1 (en) * 2006-05-19 2009-05-14 Panasonic Corporation Wireless communication apparatus and wireless communication method
CN101656562A (zh) 2009-09-22 2010-02-24 武汉虹信通信技术有限责任公司 一种实现直放站自激干扰消除的装置及方法
CN101662849A (zh) 2009-09-29 2010-03-03 西瑞克斯(北京)通信设备有限公司 一种用于td-scdma直放站系统的基带干扰抵消的装置及方法
US20100136925A1 (en) 2008-12-03 2010-06-03 Lackey Raymond J Tuning amplitude slope matched filter architecture
CN101807959A (zh) 2010-03-25 2010-08-18 电子科技大学 一种用于认知无线电系统的干扰抑制方法
US20110116403A1 (en) 2007-03-21 2011-05-19 Skyworks Solutions, Inc. LMS Adaptive Filter for Digital Cancellation of Second Order Inter-Modulation Due to Transmitter Leakage
US20120106618A1 (en) * 2009-07-17 2012-05-03 Nippon Telegraph And Telephone Corporation Method for receiving frequency domain multiplexed signal and device for receiving frequency domain multiplexed signal
US20120201153A1 (en) 2011-02-03 2012-08-09 Dinesh Bharadia Adaptive techniques for full duplex communications
US20120214524A1 (en) * 2011-02-20 2012-08-23 Novelsat Ltd. Satellite receiver with interfering signal cancellation
US20120235683A1 (en) * 2011-03-16 2012-09-20 Elisabeth Weiland Magnetic resonance method and system to detect interference signals in magnetic resonance spectroscopy signals
US20120263078A1 (en) * 2011-03-31 2012-10-18 Chien-Cheng Tung Full duplex wireless method and apparatus
US20120294608A1 (en) * 2011-05-20 2012-11-22 The Trustees Of Princeton University System and method for broadband rf interference cancellation
US20140160949A1 (en) * 2012-12-07 2014-06-12 Axel Clausen Determination of a Noise and Interference Covariance Measure
US20140219267A1 (en) * 2013-02-07 2014-08-07 Airvana Llc Radio access networks
US20150092871A1 (en) * 2013-10-01 2015-04-02 Electronics And Telecommunications Research Institute Apparatus and method of estimating channel in consideration of residual synchronization offset
US20150311931A1 (en) * 2014-04-28 2015-10-29 Motorola Solutions, Inc. Method and system for multiband interference mitigation with multipath cancellation

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201332396Y (zh) * 2008-09-12 2009-10-21 北京创毅视讯科技有限公司 一种直放站

Patent Citations (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006068635A1 (fr) 2004-11-15 2006-06-29 Qualcomm Incorporated Filtre adaptatif pour rejet de signal de fuite de transmission
EP1724946A1 (fr) 2005-05-20 2006-11-22 British Broadcasting Corporation Amélioration du répeteur sur canal
EP1841084A2 (fr) 2006-03-31 2007-10-03 NTT DoCoMo, Inc. Appareil de communication radio et procédé de communication radio
US20090125793A1 (en) * 2006-05-19 2009-05-14 Panasonic Corporation Wireless communication apparatus and wireless communication method
US20070274372A1 (en) 2006-05-29 2007-11-29 Tokyo Institute Of Technology Radio communication apparatus and radio communication method
CN101083495A (zh) 2006-05-29 2007-12-05 国立大学法人东京工业大学 无线通信装置和无线通信方法
US20070286264A1 (en) * 2006-06-07 2007-12-13 Nokia Corporation Interference reduction in spread spectrum receivers
US20080089397A1 (en) 2006-10-17 2008-04-17 Interdigital Technology Corporation Transceiver with hybrid adaptive self-interference canceller for removing transmitter generated noise to prevent modem jamming
US20110116403A1 (en) 2007-03-21 2011-05-19 Skyworks Solutions, Inc. LMS Adaptive Filter for Digital Cancellation of Second Order Inter-Modulation Due to Transmitter Leakage
CN101359956A (zh) 2008-09-12 2009-02-04 北京创毅视讯科技有限公司 一种直放站
CN101420246A (zh) 2008-11-21 2009-04-29 华为技术有限公司 一种收发信机抵消发射干扰的方法、设备及收发信机
US20110228828A1 (en) 2008-11-21 2011-09-22 Wei Wang Method and device for cancelling transmitter interference in transceiver, and transceiver
US20100136925A1 (en) 2008-12-03 2010-06-03 Lackey Raymond J Tuning amplitude slope matched filter architecture
US20120106618A1 (en) * 2009-07-17 2012-05-03 Nippon Telegraph And Telephone Corporation Method for receiving frequency domain multiplexed signal and device for receiving frequency domain multiplexed signal
CN101656562A (zh) 2009-09-22 2010-02-24 武汉虹信通信技术有限责任公司 一种实现直放站自激干扰消除的装置及方法
CN101662849A (zh) 2009-09-29 2010-03-03 西瑞克斯(北京)通信设备有限公司 一种用于td-scdma直放站系统的基带干扰抵消的装置及方法
CN101807959A (zh) 2010-03-25 2010-08-18 电子科技大学 一种用于认知无线电系统的干扰抑制方法
US20120201153A1 (en) 2011-02-03 2012-08-09 Dinesh Bharadia Adaptive techniques for full duplex communications
US20120214524A1 (en) * 2011-02-20 2012-08-23 Novelsat Ltd. Satellite receiver with interfering signal cancellation
US20120235683A1 (en) * 2011-03-16 2012-09-20 Elisabeth Weiland Magnetic resonance method and system to detect interference signals in magnetic resonance spectroscopy signals
US20120263078A1 (en) * 2011-03-31 2012-10-18 Chien-Cheng Tung Full duplex wireless method and apparatus
US20120294608A1 (en) * 2011-05-20 2012-11-22 The Trustees Of Princeton University System and method for broadband rf interference cancellation
US20140160949A1 (en) * 2012-12-07 2014-06-12 Axel Clausen Determination of a Noise and Interference Covariance Measure
US20140219267A1 (en) * 2013-02-07 2014-08-07 Airvana Llc Radio access networks
US20150092871A1 (en) * 2013-10-01 2015-04-02 Electronics And Telecommunications Research Institute Apparatus and method of estimating channel in consideration of residual synchronization offset
US20150311931A1 (en) * 2014-04-28 2015-10-29 Motorola Solutions, Inc. Method and system for multiband interference mitigation with multipath cancellation

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Zou et al., "Analysis and Design of RF Adaptive Interference Cancellation System," The 54th Research Institute of CETC, Shijiazhuang Hebei, China (2011).

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160105213A1 (en) * 2013-05-21 2016-04-14 The Regents Of The University Of California Methods for cancellation of radio interference in wireless communication systems
US9621221B2 (en) * 2013-05-21 2017-04-11 The Regents Of The University Of California Methods for cancellation of radio interference in wireless communication systems
US20170111155A1 (en) * 2014-06-26 2017-04-20 Huawei Technologies Co., Ltd. Interference cancellation apparatus and method
US10084584B2 (en) * 2014-06-26 2018-09-25 Huawei Technologies Co., Ltd. Interference cancellation apparatus and method
US20170063427A1 (en) * 2015-08-27 2017-03-02 Qualcomm Incorporated Analog interference cancelation for shared antennas
RU168164U1 (ru) * 2016-08-12 2017-01-23 Общество с ограниченной ответственностью "ТехГеоБур" Устройство согласования наземное
CN110133425A (zh) * 2019-06-10 2019-08-16 集美大学 一种海底电缆故障信号滤波方法、终端设备及存储介质
US10791006B1 (en) * 2019-09-17 2020-09-29 Realtek Semiconductor Corp. Electronic system with RFI cancelation mechanism and related RFI cancelation method

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