短波信道下的跳频信号检测

doi:10.3969/j.issn.0372-2112.2019.03.015

电子学报 ›› 2019, Vol. 47 ›› Issue (3): 623-629.DOI: 10.3969/j.issn.0372-2112.2019.03.015

短波信道下的跳频信号检测

李硕, 李天昀

中国人民解放军战略支援部队信息工程大学信息系统工程学院, 河南郑州 450001

收稿日期:2017-07-31 修回日期:2018-03-15 出版日期:2019-03-25
- 作者简介:
- 李硕男,1992年生于河北张家口.中国人民解放军战略支援部队信息工程大学硕士研究生.研究方向为通信信号处理.E-mail:2476617882@qq.com;李天昀 男,1979年2月出生于江西.中国人民解放军战略支援部队信息工程大学副教授,硕士生导师.主要研究方向为通信信号处理,软件无线电.E-mail:xyzlty@163.com

Frequency Hopping Signal Detection over the Short-Wave Channel

LI Shuo, LI Tian-yun

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

Received:2017-07-31 Revised:2018-03-15 Online:2019-03-25 Published:2019-03-25

摘要/Abstract

摘要： 针对复杂环境下跳频信号的检测问题，提出一种基于能量特征提取的检测算法.该算法可以准确判断信道内跳频信号的存在性.首先将接收数据投影到能量域内进行白化，抑制接收信号中存在的色噪声；然后通过能量分布特征提取信道内存在的时域连续信号，去除接收信号中存在的短时突发信号；最后利用信道化处理将接收信号分解到各个子信道，通过短时能量对消的方法来检测跳频信号的存在性.对该算法的统计特性，虚警概率和检测概率进行理论推导，并对检测流程进行了实验仿真，验证了算法有效性.

关键词: 跳频信号检测, 均匀信道化, 主分量分析

Abstract: A detection algorithm based on energy feature extraction is proposed for the detection of frequency-hopping signals in complex environments.The algorithm can accurately determine the existence of frequency hopping signal in the channel.Firstly,the receiving data is projected into the energy domain to be whitened,and the color noise in the receiving signal is suppressed.Then,the time-domain continuous signal in the channel is extracted through the energy distribution feature to remove the short-term burst signal in the receiving signal.Finally,the channel processing is used to decompose the receiving signal into each subchannel and detect the existence of frequency-hopping signal by means of short-term energy cancellation.The statistical properties of the algorithm,the false alarm probability and the detection probability are theoretically derived,and the experimental simulation is carried out to verify the effectiveness of the algorithm.

Key words: frequency-hopping signal detection, complex channel, principal component analysis

中图分类号:

TN97

李硕, 李天昀. 短波信道下的跳频信号检测[J]. 电子学报, 2019, 47(3): 623-629.

LI Shuo, LI Tian-yun . Frequency Hopping Signal Detection over the Short-Wave Channel[J]. Acta Electronica Sinica, 2019, 47(3): 623-629.

参考文献

[1] 朱文贵,谢立允,徐佩霞.一种基于阵列信号处理的跳频信号盲检测方法[J].中国科学技术大学学报,2008,38(10):1153-1157.ZHU Wen-gui,XIE Li-yun,XU Pei-xia.A blind detection method for frequency-hopping signals based on array signal processing[J].Journal of China University of Science and Technology,2008,38(10):1153-1157.(in Chinese)
[2] 张珊,吴瑛,陈秋华.基于CASH-CFAR的跳频信号检测[J].计算机工程与设计,2010,31(21):4697-4700.ZHANG Shan,WU Ying,CHEN Qiu-hua.Detection of frequency-hopping signal based on cash-cfar[J].Computer Engineering and Design,2010,31(21):4697-4700.
[3] 张珊,吴瑛,刘元宁,等.强干扰下跳频信号的提取[J].电讯技术,2010,50(4):34-39.ZHANG Shan,WU Ying,LIU Yuan-ning,et al.Extraction of frequency-hopping signal by strong interference[J].Telecommunications Technology,2010,50(4):34-39.(in Chinese)
[4] 陈硕,李天昀,葛临东.一种基于边缘检测的跳频检测算法研究[J].信息工程大学学报,2006,7(3):264-266.CHEN Shuo,LI Tian-yun,GE Lin-dong.A research on frequency-hopping detection algorithm based on edge detection[J].Journal of Information Engineering University,2006,7(3):264-266.(in Chinese)
[5] Beaulieu N C,Hopkins W L,Mclane P J.Interception of frequency-hopped spread-spectrum signals[J].Selected Areas in Communications IEEE Journal on,1990,8(5):853-870.
[6] Chung C D.Generalised likelihood-ratio detection of multiple-hop frequency-hopping signals[J].IEE Proceedings-Communications,1994,141(2):70-78.
[7] Ng,Beaulieu.Noncoherent interception receivers for fast frequency-hopped spread spectrum signals[A].Electrical and Computer Engineering,1994[C].Halifax,NS,Canada:IEEE,2002.348-351.
[8] 张东伟,郭英,霍文俊,等.一种改进的跳频信号信道化检测方法[J].火力与指挥控制,2012,37(8):58-61.ZHANG Dong-wei,GUO Ying,HUO Wen-jun,et al.An improved detection method for hopping signal channel[J].Fire and Command Control,2012,37(8):58-61.(in Chinese)
[9] 曾禹,李鸥.一种新的跳频信号检测模型[J].电子学报,2012,40(4):832-837.ZENG Yu,LI Ou.A new detection model for hopping signals[J].Acta Electronica Sinica,2012,40(4):832-837.(in Chinese)
[10] 王峻峰.基于主分量、独立分量分析的盲信号处理及应用研究[D].武汉:华中科技大学,2005.WANG Jun-feng.Research on the processing and application of blind signals based on principal component and independent component analysis[D].Wuhan:Huazhong University of Science and Technology,2005.(in Chinese)
[11] 高宪军,李德鑫,李娜,等.基于功率谱对消的跳频信号检测算法[J].吉林大学学报(信息科学版),2008,26(3):238-243.GAO Xian-jun,LI De-xin,Li Na,et al.Detection algorithm of frequency-hopping signal based on power spectrum cancellation[J].Journal of Jilin University(Information Science Edition),2008,26(3):238-243.(in Chinese)
[12] 隋丹,葛临东,屈丹.一种新的基于能量检测的突发信号存在性检测算法[J].信号处理,2008,24(4):614-617.SUI Dan,GE Lin-dong,QU Dan.A new detection algorithm for burst signals based on energy detection[J].Signal Processing,2008,24(4):614-617.(in Chinese)
[13] 周成健,田岩,王明海.基于双通道多跳互相关的快跳频信号检测方法[J].电子信息对抗技术,2010,25(3):26-30.ZHOU Cheng-jian,TIAN Yan,WANG Ming-hai.Fast frequency-hopping signal detection method based on two-channel multi-hop correlation[J].Electronic Information Countermeasures Technology,2010,25(3):26-30.(in Chinese)

短波信道下的跳频信号检测

Frequency Hopping Signal Detection over the Short-Wave Channel

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