基于压缩感知的电力线脉冲噪声抑制

doi:10.19595/j.cnki.1000-6753.tces.171715

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摘要为提高低压电力线正交频分复用（OFDM）通信系统的传输性能,提出了一种脉冲噪声抑制算法——优化先验辅助稀疏度自适应匹配追踪（OPA-SAMP）算法。该算法将频域获取的空子载波数据作为测量向量,根据信噪比的变化关系推导出粗估计门限,并将该门限估计的脉冲噪声先验支撑集初始化算法的残差与步长,然后采用稀疏度自适应匹配追踪（SAMP）迭代算法恢复出脉冲噪声,最后在接收端对恢复的脉冲噪声进行抑制。实验结果表明,该文提出的算法能有效去除电力线信道中的脉冲噪声,与传统的压缩感知算法相比,该算法具有更低的通信误码率,算法的运行时间更短。在脉冲噪声发生概率高、传输数据量大的情况下,该算法的性能更加优良。

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	邓蓉
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	肖郭璇
	汪广
	刘宏立

关键词 ：脉冲噪声, 压缩感知, 正交频分复用, 电力线通信

Abstract：To enhance the transmission performance of orthogonal frequency division multiplexing (OFDM) communication system over low-voltage power line, this paper proposed a kind of impulse noise suppression algorithm-optimized prior aided sparsity adaptive matching pursuit (OPA-SAMP). The algorithm used the data on empty sub-carriers in frequency domain as the measurement vector, deduced a rough estimate threshold based on the change of signal to noise ratio (SNR), and initialized the residual and step length by the priori support set of impulse noise which derived from the estimated threshold, then recovered the impulse noise by the sparse adaptive matching tracking (SAMP) iterative algorithm, finally, the impulse noise is suppressed at the receiving end. Experimental results show that the proposed algorithm has lower communication error rate and shorter running time compare with the traditional compressed sensing algorithm. What is more, the performance of the algorithm is better in case of high probability of impulse noise and large amount of transmission data.

Key words： Impulse noise compressed sensing orthogonal frequency division multiplexing power line communication

收稿日期: 2017-12-25 出版日期: 2018-12-17

PACS:

TM73

基金资助:中央国有资本经营预算项目（财企[2013]470号）、国家自然科学基金项目（61771191）、中央高校基本科研项目（1053214004）、湖南省科技计划重点项目（2015JC3053）、湖南省自然科学基金项目（2017JJ2052）、教育部产学合作协同育人项目（201601004010,201701056026）、湖南省普通高校教学改革研究项目（湘教通〔2016〕400 号）和湖南省研究生创新项目（CX2017B112）资助

作者简介: 邓蓉女,1993年生,硕士研究生,研究方向为压缩感知在电力线通信中的应用。E-mail：415794808@qq.com;刘宏立男,1963年生,教授,博士生导师, 研究方向为无线传感器网络、移动通信系统、电力载波通信、智能信息处理与传输技术等。E-mail：hongliliu@hnu.edu.cn（通信作者）

引用本文:

邓蓉, 谭周文, 肖郭璇, 汪广, 刘宏立. 基于压缩感知的电力线脉冲噪声抑制[J]. 电工技术学报, 2018, 33(23): 5555-5563. Deng Rong, Tan Zhouwen, Xiao Guoxuan, Wang Guang, Liu Hongli. Impulse Noise Suppression in Power Line Communication Based on Compressed Sensing. Transactions of China Electrotechnical Society, 2018, 33(23): 5555-5563.

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[1] 卢文冰, 张慧, 赵雄文, 等. 网络参数对低压宽带电力线信道的影响[J]. 电工技术学报, 2016, 31(增刊1): 221-229.
Lu Wenbing, Zhang Hui, Zhao Xiongwen, et al.The effect of network parameters for low-voltage broadband power line channels[J]. Transactions of China Electrotechnical Society, 2016, 31(S1): 221-229.
[2] 樊邦奎, 丁冠军, 兰海滨, 等. 智能电网应用中的PLC最短路径及多径传输统计模型[J]. 电工技术学报, 2013, 28(增刊2): 387-390.
Fan Bangkui, Ding Guanjun, Lan Haibin, et al.Research on the shortest path and multi-path transmission statistical model of PLC in smart grid[J]. Transactions of China Electrotechnical Society, 2013, 28(S2): 387-390.
[3] Liu Sicong, Yang Fang, Song Jian.An optimal interleaving scheme with maximum time-frequency diversity for PLC systems[J]. IEEE Transactions on Power Delivery, 2016, 31(3): 1007-1014.
[4] Marey M, Steendam H.Analysis of the narrowband interference effect on OFDM timing synchronization[J]. IEEE Transactions on Signal Processing, 2007, 55(9): 4558-4566.
[5] Zimmermann M, Dostert K.Analysis and modeling of impulsive noise in broad-band powerline communications[J]. IEEE Transactions on Electromagnetic Compatibility, 2002, 44(1): 249-258.
[6] Mehboob A, Li Z, Khangosstar J.Adaptive impulsive noise mitigation using multi-mode compressive sensing for power line communications[C]//IEEE International Symposium on Power Line Communications and Its Applications, Beijing, 2012: 368-373.
[7] Zhidkov S V.Analysis and comparison of several simple impulsive noise mitigation schemes for OFDM receivers[J]. IEEE Transactions on Communications, 2008, 56(1): 5-9.
[8] Kim Y C, Bae J N, Kim J Y, et al.Novel noise reduction scheme for power line communication systems with smart grid applications[C]//International Conference on Consumer Electronic (ICCE), Las Vegas, NV, 2011: 791-792.
[9] Donoho D L.Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
[10] 曹思扬, 戴朝华, 朱云芳, 等. 一种新的电能质量扰动信号压缩感知识别方法[J]. 电力系统保护与控制, 2017, 45(3): 7-12.
Cao Siyang, Dai Chaohua, Zhu Yunfang, et al.A novel compressed sensing-based recognition method for power quality disturbance signals[J]. Power System Protection and Control, 2017, 45(3): 7-12.
[11] 高倩, 陈晓英, 孙丽颖. 基于可调Q小波变换与基追踪的电能质量信号去噪[J]. 电气技术, 2016, 17(5): 49-53.
Gao Qian, Chen Xiaoying, Sun Liying.Power quality signals’ de-noising method based on tunable Q-factor wavelet transform and basis pursuit[J]. Electrical Engineering, 2016, 17(5): 49-53.
[12] 陈雷, 郑德忠, 廖文喆. 基于压缩感知的含扰动电能质量信号压缩重构方法[J]. 电工技术学报, 2016, 31(8): 163-171.
Chen Lei, Zheng Dezhong, Liao Wenzhe.Methods based on compressive sensing for compression and reconstruction of the power quality signals with disturbances[J]. Transactions of China Electrotechnical Society, 2016, 31(8): 163-171.
[13] 于华楠, 马聪聪, 王鹤. 基于压缩感知估计行波自然频率的输电线路故障定位方法研究[J]. 电工技术学报, 2017, 32(23): 140-148.
Yu Huanan, Ma Congcong, Wang He.Transmission line fault location method based on compressive sensing estimation of traveling wave natural frequencies[J]. Transactions of China Electrotechnical Society, 2017, 32(23): 140-148.
[14] 李臻, 罗林根, 盛戈皞, 等. 基于压缩感知的特高频局部放电定位法[J]. 电工技术学报, 2018, 33(1): 202-208.
Li Zhen, Luo Lingen, Cheng Gehao, et al.Ultrahigh frequency partial discharge localization methodology based on the compression sensing[J]. Transactions of China Electrotechnical Society, 2018, 33(1): 202-208.
[15] Ding Wenbo, Yang Fang, Pan Changyong, et al.Compressive sensing based channel estimation for OFDM systems under long delay channels[J]. IEEE Transactions on Broadcasting, 2014, 60(22): 313-321.
[16] Caire G, Al-Naffouri T Y, Narayanan A K. Impulse noise cancellation in OFDM: an application of compressed sensing[C]//IEEE International Symposium on Information Theory, Toronto, ON, Canada, 2008: 1293-1297.
[17] Al-Naffouri T Y, Quadeer A A, Caire G. Impulse noise estimation and removal for OFDM systems[J]. IEEE Transactions on Communications, 2014, 62(3): 976-989.
[18] Ren Gaofeng, Qiao Shushan, Yong Hei.Asynchronous impulsive noise mitigation in OFDM using adaptive threshold compressive sensing[C]//The 19th annual IEEE Wireless and Microwave Technology Conference, Tampa, FL, USA, 2014: 1-5.
[19] Liu Sicong, Yang Fang, Ding Wenbo, et al.A priori aided compressive sensing approach for impulsive noise reconstruction[C]//International Wireless Communications and Mobile Computing Conference, Dubrovnik, Croatia, 2015: 205-209.
[20] Do T T, Lu Gan, Chen Yi, et al.Sparsity adaptive matching pursuit algorithm for practical compressed sensing[C]//42nd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, 2009: 581-587.
[21] 谷志茹, 刘宏立, 詹杰, 等. 智能电网窄带OFDM通信系统噪声抑制[J]. 电工技术学报, 2014, 29(11): 269-276.
Gu Zhiru, Liu Hongli, Zhan Jie, et al.Noise suppression investigation of a narrowband power line communication for smart grid[J]. Transactions of China Electrotechnical Society, 2014, 29(11): 269-276.
[22] Middleton D. Statistical-physical models of electromagnetic interference[J]. IEEE Transactions on Electromagnetic Compatibility, 1977, EMC-19(3): 106-127.
[23] Nassar M, Gulati K, Mortazavi Y, et al.Statistical modeling of asynchronous impulsive noise in power line communication networks[C]//IEEE Global Telecommunications Conference, Kathmandu, Nepal, 2011: 1-6.