Radiation source signal detection method based on ordered statistical filtering and binary accumulation

被引：0
|
作者：
Zhao Z. [1 ,2 ]
Gong H. [1 ]
Zhang R. [3 ]
机构：
[1] School of Information and Communication Engineering, Harbin Engineering University, Harbin
[2] Key Laboratory of Advanced Ship Communication and Information Technology, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin
[3] Beijing Aerospace Long March Aircraft Research Institute, Beijing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2022年 / 44卷 / 04期
关键词：
Binary accumulation; Constant false alarm rate (CFAR); Digital channelization; Low signal-to-noise ratio; Ordered statistical filtering;
D O I：
10.12305/j.issn.1001-506X.2022.04.03
中图分类号：
学科分类号：
摘要：
Modern radars use broadband chirp, phase encoding and other low probability of interception(LPI) waveforms. Modern radars have low transmitting power, leading to low signal-to-noise ratio of the radiation source signal reaching the reconnaissance receiver, which brings a huge challenge to passive reconnaissance. Existing passive detection methods have certain limitations when detecting this type of signal, such as high algorithm complexity, large amount of calculation, and poor real-time performance. Aiming at the above problems, this paper proposes a method for detecting radiation source signals. On the basis of digital channelization preprocessing, a parallel pipeline structure suitable for engineering realization is designed. The detection is completed based on ordered statistical filtering and binary accumulation, which improves the detection speed and can realize the constant false alarm detection (CFAR) of low signal-to-noise ratio signals. The simulation test proves the validity and correctness of the proposed method, and provides a strong theoretical support for the detection of the radiation source signal. © 2022, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：1085 / 1092
页数：7
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