RLS算法在同时同频全双工系统中的自干扰抑制性能分析
|
摘要
作为解决频谱资源枯竭问题的同时同频全双工通信面临的主要问题是自干扰抑制。由于数字域远强于天线域和模拟域的信号处理能力,研究数字域自干扰抑制方法,以常用的信道估计算法RLS作为自干扰信道的信道估计算法,并分析其自干扰抑制能力、误码率,并与其他信道估计算法作比较。通过MATLAB对系统模型进行建模与仿真,仿真结果表明随着干信比的增大,RLS自干扰信道估计的数字自干扰抑制算法的自干扰抑制能力越强;随着干扰抑制后信干比的增大,RLS自干扰信道估计的数字自干扰抑制算法下误码率越来越低;随着滤波器阶数的增大,RLS自干扰信道估计的数字自干扰抑制算法自干扰抑制能力增大,误码率减小;在同一条件下,RLS自干扰信道估计的数字自干扰抑制算法自干扰抑制能力,误码率优于VSSLMS、LMS、SSLMS,但其收敛速度较慢,复杂度较大。
As a solution to the problem of depletion of spectrum resources,the main problem facing simultaneous full-duplex communications is self-interference suppression.Since the digital domain is much stronger than the signal processing capability of the antenna domain and analog domain,this paper studies the self-interference suppression method in the digital domain.The common channel estimation algorithm RLS is used as the channel estimation algorithm of the self-interference channel,and its self-interference suppression ability is analyzed.,error rate,and compared with other channel estimation algorithms.The model of the system is modeled and simulated by MATLAB,and analyze the results.The simulation results show that the self-interference suppression ability of RLS self-interference channel estimation's digital selfinterference suppression algorithm algorithm increases with the increase of ISR.As the SIR increases after interference suppression,the bit error rate becomes lower and lower under RLS self-interference channel estimation's digital self-interference suppression algorithm.;as the filter order increases,the self-interference suppression ability of RLS self-interference channel estimation's digital self-interference suppression algorithm increases,and the bit error rate decreases;under the same conditions,the RLS digital self-interference suppression algorithm's self-interference suppression capability,the bit error rate is better than VSSLMS,LMS,SSLMS,but its slower convergence and greater complexity.
As a solution to the problem of depletion of spectrum resources,the main problem facing simultaneous full-duplex communications is self-interference suppression.Since the digital domain is much stronger than the signal processing capability of the antenna domain and analog domain,this paper studies the self-interference suppression method in the digital domain.The common channel estimation algorithm RLS is used as the channel estimation algorithm of the self-interference channel,and its self-interference suppression ability is analyzed.,error rate,and compared with other channel estimation algorithms.The model of the system is modeled and simulated by MATLAB,and analyze the results.The simulation results show that the self-interference suppression ability of RLS self-interference channel estimation's digital selfinterference suppression algorithm algorithm increases with the increase of ISR.As the SIR increases after interference suppression,the bit error rate becomes lower and lower under RLS self-interference channel estimation's digital self-interference suppression algorithm.;as the filter order increases,the self-interference suppression ability of RLS self-interference channel estimation's digital self-interference suppression algorithm increases,and the bit error rate decreases;under the same conditions,the RLS digital self-interference suppression algorithm's self-interference suppression capability,the bit error rate is better than VSSLMS,LMS,SSLMS,but its slower convergence and greater complexity.
引文
[1]A Goldsmith,Wireless Communication[M].Cambridge,U.K.:Cambridge Univ.Press,2005.
[2]J I Choi,M Jain,K Srinivasan,P Levis,et al.A-chieving single channel,full duplex wireless communication[J].Proc.ACM MOBICOM,2010(9):1-12.
[3]B Radunovic,D Gunawardena,P Key,et al.Rethinking indoor wireless mesh design:Low power,low frequency,full-duplex[J].IEEE Workshop on Wireless Mesh Networks(WIMESH),2010(6):1-6.
[4]M Jain,J Choi,T Kim,et al.Practical,real-time,full duplex wireless[J].Proc.ACM MOBICOM,2011(9):301-312.
[5]M Duarte,A Sabharwal.Full-duplex wireless communications using off-the-shelf radios:Feasibility and first results[J].Asilomar Conference on Signals,Systems and Computers(ASILOMAR),2010(11):1558-1562.
[6]B Kaufman,J Lilleberg,B Aazhang.An analog baseband approach for designing full-duplex radios[J].Proc.47th Asilomar Conference on Signals,Systems and Computers,2013(11):987-991.
[7]M Duarte,C Dick,A Sabharwal.Experiment-Driven Characterization of Full-Duplex Wireless Systems[J].IEEE Trans.Wireless Commun.,2012(11):4296-4308.
[8]B Kaufman,J Lilleberg,B Aazhang.Analog baseband cancellation for full duplex an experiment driven analysis[J].Submitted to Journal of Selected Area of Communications-Preprint on arxiv.org.
[9]D Bharadia,E McMilin,S Katti.Full duplex radios[J].SIGCOMM13,2013(8):375-386.
[10]A Masmoudi,T Le-Ngoc.A Maximum-Likelihood Channel Estimator for Self-Interference Cancellation in Full-Duplex Systems[J].IEEE Trans.on Veh.Technol.
[11]D Korpi,L Anttila,M Valkama.Feasibility of inband full-duplex radio transceivers with imperfect RF components:analysis and enhanced cancellation algorithms[J].in IEEE 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications(CROWN-COM),2014(7):532-538.
[12]D Korpi,L Anttila,V Syrjl.Widely-linear digital self-interference cancellation in direct-conversion full-duplex transceiver[J].IEEE Journal on Selected Areas in Communications,2014,32(10):1674-1687.
[13]V Syrjl,M Valkama,L Anttila.Analysis of oscillator phase-noise effects on self-interference cancellation in full-duplex OFDM radio transceivers[J].IEEE Trans.Wireless Commun.,2014,13(6):2977-2990.
[14]S Shao,X Quan,Y Shen.Effect of phase noise on digital self-interference cancellation in wireless full duplex[J].2014 IEEE International Conference on Acoustics,Speech and Signal Processing(ICASSP),2014(5):2759-2763.
[15]T Riihonen,R Wichman.Analog and digital selfinterference cancellation in full-duplex MIMO-OFDM transceivers with limited resolution in A/Dconversion[J].Proc.46th Asilomar Conference on Signals,Systems and Computers,2012(11):45-49.
[16]D Korpi,T Riihonen,V Syrj_l_,et al.Full-duplex transceiver system calculations:Analysis of ADC and linearity challenges[J].IEEE Trans.Wireless Commun.,2014,13(7):3821-3836.
[17]E Ahmed,A Eltawil,A Sabharwal.Self-interference cancellation with nonlinear distortion suppression for full-duplex systems[J].Asilomar Conference on Signals,Systems and Computers(ASILOMAR),2013(11):1199-1203.
[18]李宁.LMS自适应滤波算法的收敛性能研究与应用[D].哈尔滨:哈尔滨工程大学,2009.
[19]孙恩昌.自适应变步长LMS滤波算法及分析[J].系统仿真学报,2007,19(14).
[20]唐燕.数字助听器自适应声反馈消除的研究[D].南京:南京邮电大学,2013.
[21]R H Kwong,E W Johnston.A variable step size LMS algorithm[J].IEEE Trans.Signal Process.,1992,40(7):1633-1642.
[22]刘建成,全厚德,赵宏志,等.基于迭代变步长LMS的数字域自干扰对消[J].电子学报,2016,44(7):1530-1538.
[23]Simon Haykin.自适应滤波器原理[M].4版.郑宝玉,译.北京:电子工业出版社,2003:183-267,344-366.
[24]龚耀寰.自适应滤波[M].2版.北京:电子工业出版社,2003.
[2]J I Choi,M Jain,K Srinivasan,P Levis,et al.A-chieving single channel,full duplex wireless communication[J].Proc.ACM MOBICOM,2010(9):1-12.
[3]B Radunovic,D Gunawardena,P Key,et al.Rethinking indoor wireless mesh design:Low power,low frequency,full-duplex[J].IEEE Workshop on Wireless Mesh Networks(WIMESH),2010(6):1-6.
[4]M Jain,J Choi,T Kim,et al.Practical,real-time,full duplex wireless[J].Proc.ACM MOBICOM,2011(9):301-312.
[5]M Duarte,A Sabharwal.Full-duplex wireless communications using off-the-shelf radios:Feasibility and first results[J].Asilomar Conference on Signals,Systems and Computers(ASILOMAR),2010(11):1558-1562.
[6]B Kaufman,J Lilleberg,B Aazhang.An analog baseband approach for designing full-duplex radios[J].Proc.47th Asilomar Conference on Signals,Systems and Computers,2013(11):987-991.
[7]M Duarte,C Dick,A Sabharwal.Experiment-Driven Characterization of Full-Duplex Wireless Systems[J].IEEE Trans.Wireless Commun.,2012(11):4296-4308.
[8]B Kaufman,J Lilleberg,B Aazhang.Analog baseband cancellation for full duplex an experiment driven analysis[J].Submitted to Journal of Selected Area of Communications-Preprint on arxiv.org.
[9]D Bharadia,E McMilin,S Katti.Full duplex radios[J].SIGCOMM13,2013(8):375-386.
[10]A Masmoudi,T Le-Ngoc.A Maximum-Likelihood Channel Estimator for Self-Interference Cancellation in Full-Duplex Systems[J].IEEE Trans.on Veh.Technol.
[11]D Korpi,L Anttila,M Valkama.Feasibility of inband full-duplex radio transceivers with imperfect RF components:analysis and enhanced cancellation algorithms[J].in IEEE 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications(CROWN-COM),2014(7):532-538.
[12]D Korpi,L Anttila,V Syrjl.Widely-linear digital self-interference cancellation in direct-conversion full-duplex transceiver[J].IEEE Journal on Selected Areas in Communications,2014,32(10):1674-1687.
[13]V Syrjl,M Valkama,L Anttila.Analysis of oscillator phase-noise effects on self-interference cancellation in full-duplex OFDM radio transceivers[J].IEEE Trans.Wireless Commun.,2014,13(6):2977-2990.
[14]S Shao,X Quan,Y Shen.Effect of phase noise on digital self-interference cancellation in wireless full duplex[J].2014 IEEE International Conference on Acoustics,Speech and Signal Processing(ICASSP),2014(5):2759-2763.
[15]T Riihonen,R Wichman.Analog and digital selfinterference cancellation in full-duplex MIMO-OFDM transceivers with limited resolution in A/Dconversion[J].Proc.46th Asilomar Conference on Signals,Systems and Computers,2012(11):45-49.
[16]D Korpi,T Riihonen,V Syrj_l_,et al.Full-duplex transceiver system calculations:Analysis of ADC and linearity challenges[J].IEEE Trans.Wireless Commun.,2014,13(7):3821-3836.
[17]E Ahmed,A Eltawil,A Sabharwal.Self-interference cancellation with nonlinear distortion suppression for full-duplex systems[J].Asilomar Conference on Signals,Systems and Computers(ASILOMAR),2013(11):1199-1203.
[18]李宁.LMS自适应滤波算法的收敛性能研究与应用[D].哈尔滨:哈尔滨工程大学,2009.
[19]孙恩昌.自适应变步长LMS滤波算法及分析[J].系统仿真学报,2007,19(14).
[20]唐燕.数字助听器自适应声反馈消除的研究[D].南京:南京邮电大学,2013.
[21]R H Kwong,E W Johnston.A variable step size LMS algorithm[J].IEEE Trans.Signal Process.,1992,40(7):1633-1642.
[22]刘建成,全厚德,赵宏志,等.基于迭代变步长LMS的数字域自干扰对消[J].电子学报,2016,44(7):1530-1538.
[23]Simon Haykin.自适应滤波器原理[M].4版.郑宝玉,译.北京:电子工业出版社,2003:183-267,344-366.
[24]龚耀寰.自适应滤波[M].2版.北京:电子工业出版社,2003.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |