基于多通道最小均方算法的多发单收同车电台射频干扰对消
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摘要
战术指挥车内多部电台同时工作,发射电台将对接收电台产生严重的互扰。针对上述问题,该文提出基于多通道最小均方算法(MCLMS)的多发单收同车电台射频干扰对消方法。首先,分析同车电台N发M收情况可分离为M个N发单收场景的叠加,进而建立多发单收射频干扰对消模型。在此基础上,提出基于MCLMS算法的射频干扰对消方法,并理论分析该对消方法的性能,推导得出互扰对消比(MICR)与发射电台数目N、收敛因子1之间的闭合数学表达式。最后,通过仿真验证了理论结果的正确性,表明该方法能够有效抑制同车发射电台对接收电台的互扰影响,增强指挥车电磁兼容性。
The transmit radios would severely interfere the receive radios, only if they are simultaneously operating in the same tactical command vehicle. Considering this problem, the RF interference cancellation method for multi-transmits and single-receive co-vehicle radios, based on Multi-Channel Least Mean Square(MCLMS) algorithm, is proposed. Firstly, the analysis indicates that the situation of N-transmits and Mreceives co-vehicle radios is the equivalent of M case of N-transmits and single-receive, by which the RF interference cancellation model of multi-transmits and single-receive is constructed. Secondly, the RF interference cancellation method based on MCLMS algorithm is presented, and the performance of this method is analyzed to obtain the mathematical relation expression between Mutual-Interference Cancellation Ratio(MICR) and transmit radio number N, convergence factor 1. Finally, the simulations demonstrate the validity of the theory result, and indicate that the mutual-interference between transmit radios and receive radios is efficiently suppressed to enhance the electromagnetic compatibility of communication command vehicle.
The transmit radios would severely interfere the receive radios, only if they are simultaneously operating in the same tactical command vehicle. Considering this problem, the RF interference cancellation method for multi-transmits and single-receive co-vehicle radios, based on Multi-Channel Least Mean Square(MCLMS) algorithm, is proposed. Firstly, the analysis indicates that the situation of N-transmits and Mreceives co-vehicle radios is the equivalent of M case of N-transmits and single-receive, by which the RF interference cancellation model of multi-transmits and single-receive is constructed. Secondly, the RF interference cancellation method based on MCLMS algorithm is presented, and the performance of this method is analyzed to obtain the mathematical relation expression between Mutual-Interference Cancellation Ratio(MICR) and transmit radio number N, convergence factor 1. Finally, the simulations demonstrate the validity of the theory result, and indicate that the mutual-interference between transmit radios and receive radios is efficiently suppressed to enhance the electromagnetic compatibility of communication command vehicle.
引文
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[9] LI Wenlu, ZHAO Zhihua, TANG Jian, et al. Performance analysis and optimal design of the adaptive interference cancellation System[J]. IEEE Transactions on Electromagnetic Compatibility, 2013, 55(6):1068-1075. doi:10.1109/temc.2013.2265803.
[10]王俊,赵宏志,唐友喜.基于降维原理的全双工射频域快速自干扰抑制算法研究[J].通信学报,2017, 38(8):28-36. doi:10.11959/j.issn.1000-436x.2017161.WANG Jun, ZHAO Hongzhi, and TANG Youxi. Quick selfinterference cancellation algorithm based on dimension reduction at radio frequency domain in full duplex system[J]. Journal on Communications, 2017, 38(8):28-36.doi:10.11959/j.issn.1000-436x.2017161.
[11]黎斯,鲁宏涛,邵士海,等.全双工通信射频域自干扰抑制量对数字域自干扰抑制能力的影响[J].电子与信息学报,2017,39(6):1278-1283. doi:10.11999/JEIT160967.LI Si, LU Hongtao, SHAO Shihai, et al. Impact of the amount of RF self-interference cancellation on digital selfinterference cancellation in full duplex communications[J].Journal of Electronics&Information Technology, 2017,39(6):1278-1283. doi:10.11999/JEIT160967.
[12]王俊,赵宏志,唐友喜.同时同频全双工射频快速自适应干扰抵消算法[J].电子科技大学学报,2017, 46(4):505-512. doi:10.3969/j.issn.1001-0548.2017.04.005.WANG Jun, ZHAO Hongzhi, and TANG Youxi. Quick adaptive self-interference cancellation at RF domain in full duplex systems[J]. Journal of University of Electronic Science and Technology of China, 2017, 46(4):505-512. doi:10.3969/j.issn.1001-0548.2017.04.005.
[13] SYRJALA V, VALKAMA M, snd ANTTILA L. Analysis of oscillator phase-noise effects on self-interference cancellation in full-duplex OFDM radio transceivers[J]. IEEE Transactions on Wireless Communications, 2014, 13(6):2977-2990. doi:10.1109/TWC.2014.041014.131171.
[14] CHOI Y S and HO OMAN S M. Simultaneous transmission and reception:Algorithm, design and system level performance[J]. IEEE Transactions on Wireless Communications, 2013, 12(12):5992-6010. doi:10.1109/TWC.2013.101713.121152.
[15] SIMON H. Adaptive Filter Theory(Fifth Edition)[M].NewYork:Pearson Education, Inc, 2016:245-253.
[16] HUANG Y A and BENESTY J. Adaptive multi-channel least mean square and Newton algorithms for blind channel identification[J]. Signal Processing, 2002, 82(8):1127-1138.doi:10.1016/S0165-1684(02)00247-5.
[2] SAMTEL J H and STEPHEN J R. High power HF and noise cancellation system, RADC-TR-80-56[R]. NewYork:Rome Air Development Center, 1980.
[3] LEE D W and BURTON S A. High power broadband cancellation system, RADC-TR-81-15[R]. NewYork:Rome Air Development Center, 1981.
[4] DUARTE M, DICK C, and SABHARWAL A. Experimentdriven characterization of full-duplex wireless systems[J].IEEE Transactions on Wireless Communications, 2012,11(12):4296-4307. doi:10.1109/TWC.2012.102612.111278.
[5]刘建成,赵宏志,全厚德,等.结合天线互耦分析的同车电台射频干扰对消[J].系统工程与电子技术,2015, 37(11):2598-2605. doi:10.3969/j.issn.1001-506X.2015.11.27.LIU Jiancheng, ZHAO Hongzhi, QUAN Houde, et al. RF interference cancellation based on antennas coupling analysis for radios on the co-vehicl[J]. Systems Engineering and Electronics, 2015, 37(11):2598-2605. doi:10.3969/j.issn.1001-506X.2015.11.27.
[6]李文禄,赵治华,李毅,等.含有用信号的自适应干扰对消系统时域分析[J].通信学报,2012, 33(10):183-190. doi:10.3969/j.issn.1000-436X.2012.10.024.LI Wenlu, ZHAO Zhihua,LI Yi,et al. Time-domain analysis of adaptive interference cancellation system with the desired signal[J]. Journal on Communications, 2012,33(10):183-190. doi:10.3969/j.issn.1000-436X.2012.10.024.
[7] CHOI J I, JAIN M, KANNAN S, et al. Achieving single channel. full-duplex wireless communication[C].Proceedings of the Sixteenth Annual International Conference on Mobile Computing and Networking, Chicago, USA, 2010:1-12. doi:10.1109/WiCOM.2012.6478497.
[8] JAIN M, CHOI J I, KIM T, et al. Practical, real-time, fullduplex wireless[C].Proceedings of the 17th Annual International Conference on Mobile Computing and Networking, Las Vegas, USA, 2011:301-312. doi:10.1145/2030613.2030647.
[9] LI Wenlu, ZHAO Zhihua, TANG Jian, et al. Performance analysis and optimal design of the adaptive interference cancellation System[J]. IEEE Transactions on Electromagnetic Compatibility, 2013, 55(6):1068-1075. doi:10.1109/temc.2013.2265803.
[10]王俊,赵宏志,唐友喜.基于降维原理的全双工射频域快速自干扰抑制算法研究[J].通信学报,2017, 38(8):28-36. doi:10.11959/j.issn.1000-436x.2017161.WANG Jun, ZHAO Hongzhi, and TANG Youxi. Quick selfinterference cancellation algorithm based on dimension reduction at radio frequency domain in full duplex system[J]. Journal on Communications, 2017, 38(8):28-36.doi:10.11959/j.issn.1000-436x.2017161.
[11]黎斯,鲁宏涛,邵士海,等.全双工通信射频域自干扰抑制量对数字域自干扰抑制能力的影响[J].电子与信息学报,2017,39(6):1278-1283. doi:10.11999/JEIT160967.LI Si, LU Hongtao, SHAO Shihai, et al. Impact of the amount of RF self-interference cancellation on digital selfinterference cancellation in full duplex communications[J].Journal of Electronics&Information Technology, 2017,39(6):1278-1283. doi:10.11999/JEIT160967.
[12]王俊,赵宏志,唐友喜.同时同频全双工射频快速自适应干扰抵消算法[J].电子科技大学学报,2017, 46(4):505-512. doi:10.3969/j.issn.1001-0548.2017.04.005.WANG Jun, ZHAO Hongzhi, and TANG Youxi. Quick adaptive self-interference cancellation at RF domain in full duplex systems[J]. Journal of University of Electronic Science and Technology of China, 2017, 46(4):505-512. doi:10.3969/j.issn.1001-0548.2017.04.005.
[13] SYRJALA V, VALKAMA M, snd ANTTILA L. Analysis of oscillator phase-noise effects on self-interference cancellation in full-duplex OFDM radio transceivers[J]. IEEE Transactions on Wireless Communications, 2014, 13(6):2977-2990. doi:10.1109/TWC.2014.041014.131171.
[14] CHOI Y S and HO OMAN S M. Simultaneous transmission and reception:Algorithm, design and system level performance[J]. IEEE Transactions on Wireless Communications, 2013, 12(12):5992-6010. doi:10.1109/TWC.2013.101713.121152.
[15] SIMON H. Adaptive Filter Theory(Fifth Edition)[M].NewYork:Pearson Education, Inc, 2016:245-253.
[16] HUANG Y A and BENESTY J. Adaptive multi-channel least mean square and Newton algorithms for blind channel identification[J]. Signal Processing, 2002, 82(8):1127-1138.doi:10.1016/S0165-1684(02)00247-5.