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多定频干扰下准随机跳频信号检测仿真

Simulation of Quasi-Random Frequency Hopping Signal Detection under Multiple Fixed-Frequency Interference
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摘要 多定频干扰环境的复杂性会对准随机跳频信号产生影响,导致跳频信号检测效果不佳。为了提升检测性能,提出多定频干扰下准随机跳频信号检测方法。对多定频干扰下的准随机跳频信号开展分析,获取跳频信号,并对信号实行小波阈值去噪处理;根据去噪处理结果,对准随机跳频信号开展傅里叶变换,求解跳频信号的局部自适应阈值,以此消除定频干扰,完成跳频信号提取;检测提取信号在时域的驻留连续性,区分跳频信号及可疑目标信号,实现多定频干扰下准随机跳频信号的检测。实验结果表明,通过开展信噪比测试、检测误差测试,验证了该方法的检测效果较好,说明其具有实用性和有效性。 The complexity of the multi-fixed frequency interference will affect the random frequency hopping signal,resulting in inaccurate detection.In order to improve the detection performance,a method of detecting quasi-random frequency hopping signals under multi-fixed frequency interference was proposed.At first,quasi-random frequency hopping signals under multiple fixed frequency interference were analyzed to obtain the frequency hopping signals,and then the signals were denoised by wavelet threshold.Based on the denoising results,Fourier transform was performed on the signal.Secondly,the local adaptive threshold of the signal was solved to eliminate the fixed frequency interference and thus to complete the frequency hopping signal extraction.Moreover,the continuity of the extracted signal in the time domain was detected.Furthermore,the frequency hopping signal and the suspicious target signal were differentiated.Finally,the detection of the quasi-random frequency hopping signal under the multi-fixed frequency interference was completed.Experimental results show that the detection effect of the proposed method is good by testing the signal-to-noise ratio and the detection error,indicating that it is practical and effective.
作者 宋东亚 武林俊 SONG Dong-ya;WU Lin-jun(Xinjiang Institute of Technology,College of Electrical and Mechatronics Engineering,Xinjiang Aksu 843100,China;College of Information Science and Engineering Henan University of Technology,Zhengzhou Henan 450001,China)
出处 《计算机仿真》 2024年第1期522-526,共5页 Computer Simulation
关键词 多定频干扰 准随机跳频信号 小波阈值去噪 傅里叶变换 跳频信号检测 Multiple fixed-frequency interference Quasi-random frequency hopping signal Wavelet threshold denoising Fourier transform Frequency hopping signal detection
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