基于宽带非合作的突发信号存在性检测算法

doi:10.11772/j.issn.1001-9081.2016.03.620

计算机应用 ›› 2016, Vol. 36 ›› Issue (3): 620-627.DOI: 10.11772/j.issn.1001-9081.2016.03.620

基于宽带非合作的突发信号存在性检测算法

汪洋, 王彬, 蒋天立, 刘怀兴, 陈婷

信息工程大学信息系统工程学院, 郑州 450001

收稿日期:2015-08-24 修回日期:2015-10-25 出版日期:2016-03-10 发布日期:2016-03-17
通讯作者: 汪洋
作者简介:汪洋(1979-),男,安徽宿州人,讲师,博士,主要研究方向:信号处理、软件无线电、平台技术;王彬(1971-),女,河南郑州人,副教授,博士,主要研究方向:信号处理;蒋天立(1989-),男,四川江油人,工程师,硕士,主要研究方向:信号处理、认知无线电;刘怀兴(1978-),男,河南永城人,讲师,硕士,主要研究方向:信号处理;陈婷(1991-),女,河南永城人,硕士研究生,主要研究方向:电子技术。

Existence detection algorithm for non-cooperative burst signals in wideband

WANG Yang, WANG Bin, JIANG Tianli, LIU Huaixing, CHEN Ting

College of Information System Engineering, Information Engineering University, Zhengzhou Henan 450001, China

Received:2015-08-24 Revised:2015-10-25 Online:2016-03-10 Published:2016-03-17

摘要/Abstract

摘要： 随着宽频带接收机的广泛应用,在宽带中非合作突发信号的盲检测越来越重要。面对低时间占空比的突发信号难以检测和高时间占空比突发信号与连续信号区分的问题,通过构建两种宽带统计谱来解决该问题:最大谱和最大差分谱。最大谱通过取瞬时频谱的最大值,保留连续信号和突发信号的功率谱信息;最大差分谱则保留前后瞬时频谱差值的最大值,能够有效地提取突发信息并且抑制连续信号。利用最大谱检测信号,利用最大差分谱辨别突发信号,实现了连续信号和不同时间占空比突发信号的宽带盲检测。最后对算法性能进行了测试,结果表明该算法能够对各种时间占空比的突发信号进行检测。

关键词: 盲检测, 突发信号, 宽带检测, 功率谱检测, 宽带盲检测

Abstract: With the extensive application of wideband receivers, the blind detection of non-cooperation burst signal in broadband is increasingly important. It is difficult to detect burst signals with low duty cycle time and to distinguish the burst signals with high duty cycle time from continuous-time signals. The problem was solved by constructing two broadband spectral statistics including maximum spectrum and maximum difference spectrum. By keeping the maximum value of instantaneous spectrum, the maximum spectrum has the information of both burst and non-burst signals; by keeping the maximum value of difference between adjacent instantaneous spectrums, the maximum difference spectrum can extract burst information and suppress continuous-time signals. By using these two spectrums, the detection of burst signals in broadband is completed. The test results show that the proposed algorithm can handle burst signals of all the duty cycle time.

Key words: blind detection, burst signal, wideband detection, power spectrum detection, broadband blind detection

中图分类号:

TN914

汪洋, 王彬, 蒋天立, 刘怀兴, 陈婷. 基于宽带非合作的突发信号存在性检测算法[J]. 计算机应用, 2016, 36(3): 620-627.

WANG Yang, WANG Bin, JIANG Tianli, LIU Huaixing, CHEN Ting. Existence detection algorithm for non-cooperative burst signals in wideband[J]. Journal of Computer Applications, 2016, 36(3): 620-627.

参考文献

[1] URKOWITZ H. Energy detection of unknown deterministic signals [J]. Proceedings of IEEE, 1967, 55(4):523-531.
[2] KOSTYLEV V I. Energy detection of a signal with random amplitude [C]//Proceedings of the 2002 IEEE International Conference on Communications. Piscataway, NJ: IEEE, 2002,3:1606-1610.
[3] SALT J E.NGUYEN H H. Performance prediction for energy detection of unknown signals [J]. IEEE Transactions on Vehicular Technology, 2008,57(6):3900-3904.
[4] LIU Y, ZENG C, WANG H, et al. Energy detection threshold optimization for cooperative spectrum sensing [C]//Proceedings of the 2010 IEEE 2nd International Conference on Advanced Computer Control. Piscataway, NJ: IEEE, 2010:566-570.
[5] GEZICI S, SAHINGLU Z, POOR H V. On the optimality of equal gain combining for energy detection of unknown signals [J]. IEEE Communications Letters, 2006,10(11):772-774.
[6] DIGHAM F F, ALOUINI M, SIMON M K. On the energy detection of unknown signals over fading channels [EB/OL]. [2015-02-11]. http://data.eefocus.com/myspace/0/160/bbs/1214188744/1214189037_a6c531ab.pdf.
[7] TANDRA R, SAHAI A. SNR walls for signal detection [J]. IEEE Journal of Selected Topics in Signal Processing, 2008, 2(1):4-17.
[8] TING S W, TAM K W, MARTINS R P. Miniaturized microstrip low-pass filter with wide stopband using double equilateral U-shaped defected ground structure [J]. IEEE Microwave and Wireless Components Letters, 2006, 16(5): 240-242.
[9] BOUTEJDAR A, ELSHERBINI A, OMAR A S. A compact micros-trip multi-layer low-pass filter using triangle slots etched in the ground plane [C]//Proceedings of the 2006 36th European Microwave Conference. Piscataway, NJ: IEEE, 2006:271-274.
[10] 罗胜国,罗来源,张晓勇,等.突发信号宽带检测概率分析[J].计算机工程与应用,2011,47(25):137-139.(LUO S G, LUO L Y, ZHANG X Y, et al. Analysis of wideband detection probability for burst signals [J]. Computer Engineering and Applications, 2011, 47(25):137-139.)
[11] FARGUES M P, HIPPENSTIEL R. Robust spectral-based techniques for classification of wideband transient signals [C]//Proceedings of the IEEE 7th SP Workshop on Statistical Signal and Array Processing. Piscataway, NJ: IEEE, 1994:379-382.
[12] 胡亚,王永庆,吴嗣亮,等.利用频域连续性检测非合作突发通信信号[J].北京理工大学学报,2012,32(10):1071-1076.(HU Y, WANG Y Q, WU C L, et al. Detection of non-cooperative burst signals employing continuity in frequency domain [J]. Transactions of Beijing Institute of Technology, 2012,32(10):1071-1076.)
[13] 胡亚,吴嗣亮.突发通信信号的降维检测方法及带宽参数分析[J].宇航学报, 2012, 33(9):1295-1300.(HU Y, WU C L. One-dimensional detector for burst communication signal and analysis on its bandwidth parameter [J]. Journal of Astronautics, 2012, 33(9):1295-1300.)
[14] DONG Y-K, ZHANG D-L, GE L-D. Algorithm of multi-signals separation for shortwave broadband receiver [C]//Proceedings of the 2011 International Conference on Wireless Communications and Signal Processing. Piscataway, NJ: IEEE, 2011:1-5.
[15] 徐启华.短波宽带侦察中的信号分选与检测[D].西安:西安电子科技大学,2006:13-24.(XU Q H. Signal sorting and detection in HF wideband reconnaissance [D]. Xi'an: Xidian University, 2006:13-24.)
[16] 南宫红振.宽带信号侦察中的动态信道化技术[D].郑州:信息工程大学,2010:6-12.(NANGONG H Z. Dynamic channel technology in wideband signal detection[D]. Zhengzhou: Information Engineering University, 2010: 6-12.)

基于宽带非合作的突发信号存在性检测算法

Existence detection algorithm for non-cooperative burst signals in wideband

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