一种基于循环稀疏表示的同频带干扰抑制及发射源定位方法

doi:10.12263/DZXB.20191177

电子学报 ›› 2021, Vol. 49 ›› Issue (1): 8-13.DOI: 10.12263/DZXB.20191177

一种基于循环稀疏表示的同频带干扰抑制及发射源定位方法

夏楠, 高紫俊, 李博, 王珏

大连工业大学信息科学与工程学院, 辽宁大连 116034

收稿日期:2019-10-15 修回日期:2020-07-24 出版日期:2021-01-25
- 作者简介:
- 夏楠男,1983年5月生于辽宁大连.2013年在大连理工大学获工学博士学位,其后在国家无线电监测中心从事无线电监测定位研究工作,高级工程师.现为大连工业大学信息科学与工程学院副教授.主要研究方向为非线性参数估计技术.E-mail:xianan0520@aliyun.com;高紫俊 男,1982年12月生于黑龙江哈尔滨.2014年在大连海事大学获工学博士学位.现为大连工业大学信息科学与工程学院讲师.主要研究方向为控制与模式识别.E-mail:gaozj@dlpu.edu.cn
- 基金资助:
- 辽宁省自然科学基金 (No.2019-ZD-0289）; 辽宁省教育厅青年育苗项目 (No.J2020109）

A Method of Co-Channel Interference Suppression and Transmitter Localization Method Based on Cyclic Sparse Representation

XIA Nan, GAO Zi-jun, LI Bo, WANG Jue

School of Information Science and Engineering, Dalian Polytechnic University, Dalian, Liaoning 116034, China

Received:2019-10-15 Revised:2020-07-24 Online:2021-01-25 Published:2021-01-25

摘要/Abstract

摘要： 针对无线通信中的同频信号干扰问题，受信号稀疏表示及循环平稳特性启发，本文通过建立位置坐标的样本集合，构造字典矩阵，采用优化方法在循环频域实现稀疏信号重建，利用接收到信号的循环谱切片直接估计发射源位置.仿真结果表明，该所提算法的定位误差接近于推导的克拉美劳下界，在低信噪比和信干比条件下优于现有的频域直接定位和两步定位算法，具有更高的定位精度.

关键词: 发射源定位, 同频干扰, 循环谱, 稀疏表示, 稀疏信号重建

Abstract: Toward the co-channel signal interference problem in wireless communications,inspired by sparse representation and cyclostationary characteristics,the dictionary matrix is constructed by establishing the sample set of position coordinates,and the sparse signal is reconstructed in cyclic frequency domain using optimization method.Then,the position of the transmitter is directly determined from the cyclic spectrum slice of the received signal.Simulation results show that the localization performance of the proposed algorithm is close to the derived Cramer-Rao lower bound,and outperforms the existing frequency domain direct localization algorithm and two-step localization algorithm,especially in cases of low signal-to-noise ratios and signal-to-interference ratios.

Key words: transmitter localization, co-channel interference, cyclic spectrum, sparse representation, sparse signal reconstruction

中图分类号:

TN911.72

夏楠, 高紫俊, 李博, 王珏. 一种基于循环稀疏表示的同频带干扰抑制及发射源定位方法[J]. 电子学报, 2021, 49(1): 8-13.

XIA Nan, GAO Zi-jun, LI Bo, WANG Jue. A Method of Co-Channel Interference Suppression and Transmitter Localization Method Based on Cyclic Sparse Representation[J]. Acta Electronica Sinica, 2021, 49(1): 8-13.

参考文献

[1] Chaudhari S,Cabric D.Cyclic weighted centroid algorithms for transmitter localization in the presence of interference[J].IEEE Transactions on Cognitive Communications and Networking,2016,2(2):162-177.
[2] Li B,Zhou J,Zou Y,Wang F,Cao W.Security and reliability trade-off analysis of joint user and jammer selection in the face of co-channel interference[J].IET Communications,2019,13(16):2601-2608.
[3] Magowe K,Giorgetti A,Kandeepan S,Yu X.Accurate analysis of weighted centroid localization[J].IEEE Transactions on Cognitive Communications and Networking,2019,5(1):153-164.
[4] Wan P,Hao B,Li Z,Zhou L,Zhang M.Time differences of arrival estimation of mixed interference signals using blind source separation based on wireless sensor networks[J].IET Signal Processing,2016,10(8):924-929.
[5] Jin F,Qiu T,Luan S,Cui W.Joint estimation of DOA and the number of sources wideband signals using cyclic correntropy[J].IEEE Access,2019,7:42482-42494.
[6] Liu Y,Zhang Y,Qiu T,Gao J,Na S.Improved time difference of arrival estimation algorithms for cyclostationary signals in ɑ-stable impulsive noise[J].Digital Signal Processing,2018,76:94-105.
[7] Jiang F,Zhang Z,Najafabadi H E.Deep sea TDOA localization method based on improved OMP algorithm[J].IEEE Access,2019,7:168151-168161.
[8] Wang G,Ho K C.Convex relaxation methods for unified nearfield and far-field TDOA-based localization[J].IEEE Transactions on Wireless Communications,2019,18(4):2346-2360.
[9] Weiss A J.Direct geolocation of wideband emitters based on delay and Doppler[J].IEEE Transactions on Signal Processing,2011,59(6):2513-2520.
[10] 王鼎,张刚.一种基于窄带信号多普勒频率测量的运动目标直接定位方法[J].电子学报,2017,45(3):591-598. WANG Ding,ZHANG Gang.A direct localization method for moving narrowband source based on Doppler frequency shifts[J].Acta Electronica Sinica,2017,45(3):591-598.(in Chinese)
[11] Ouyang X,Wan Q,Cao J,et al.Direct TDOA geolocation of multiple frequency-hopping emitters in flat fading channels[J].IET Signal Processing,2017,11(1):80-85.
[12] 王鼎,吴志东,尹洁昕.信号波形已知条件下多目标直接定位性能分析及其改进算法[J].电子学报,2017,45(12):2281-2289. WANG Ding,WU Zhi-dong,YIN Jie-xin.A performance analysis and improvement algorithm for multiple-source direct localization with known signal waveforms[J].Acta Electronica Sinica,2017,45(12):2281-2289.(in Chinese)
[13] Blumensath T,Davies M E.Normalized iterative hard thresholding:guaranteed stability and performance[J].IEEE Journal of Selected Topics in Signal Processing,2010,4(2):298-309.
[14] 王鹏,邱天爽,金芳晓,夏楠,李景春.脉冲噪声下基于稀疏表示的韧性DOA估计方法[J].电子学报,2018,46(7):1537-1544. WANG Peng,QIU Tian-shuang,JIN Fang-xiao,XIA Nan,LI Jing-chun.A robust DOA estimation method based on sparse representation for impulsive noise environments[J].Acta Electronica Sinica,2018,46(7):1537-1544.(in Chinese)
[15] 黄知涛,周一宇,姜文利.循环平稳信号处理与应用[M].北京:科学出版社,2006. Huang Z,Zhou Y,Jiang W.Cyclic Stationary Signal Processing and Application[M].Beijing:Science Press,2006.(in Chinese)
[16] Kay S.Fundamentals of Statistical Signal Processing:Estimation Theory[M].USA:Prentice Hall,1993.

一种基于循环稀疏表示的同频带干扰抑制及发射源定位方法

A Method of Co-Channel Interference Suppression and Transmitter Localization Method Based on Cyclic Sparse Representation

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