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Robust mismatched filtering algorithm for passive bistatic radar using worst-case performance optimization

Frontiers of Information Technology & Electronic Engineering 2020年第7期21卷 1074-1084页

作者： Gang CHEN Jun WANG National Laboratory of Radar Signal Processing Xidian UniversityXi'an 710071China

Passive bistatic radar detects targets by exploiting available local broadcasters and communication transmissions as illuminators, which are not designed for radar. The signal usually contains a time-varying structure, which may result in high-level range ambiguity sidelobes. Because the mismatched filter is effective in suppressing sidelobes, it can be used in a passive bistatic radar. However, due to the low signal-to-noise ratio in the reference signal, the sidelobe suppression performance seriously degrades in a passive bistatic radar system. To solve this problem, a novel mismatched filtering algorithm is developed using worst-case performance optimization. In this algorithm, the influence of the low energy level in the reference signal is taken into consideration, and a new cost function is built based on worst-case performance optimization. With this optimization, the mismatched filter weights can be obtained by minimizing the total energy of the ambiguity range sidelobes. Quantitative evaluations and simulation results demonstrate that the proposed algorithm can realize sidelobe suppression when there is a low-energy reference signal. Its effectiveness is proved using real data.

关键词： Passive bistatic radar Range sidelobes Low signal-to-noise ratio mismatched filtering Worst-case performance optimization

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STUDY OF mismatched filtering OF PASSIVE RADAR USING TV SIGNAL

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Journal of Electronics(China) 2006年第1期23卷 144-147页

作者： Sun Xiaowen Zhang Linrang Wu Shunjun State Key Lab of Radar Signal Processing Xidian University Xi＇an 710071 China

This letter delnonstrates the structure of the passive radar using TV signals. Because the TV signal is a kind of pseudoperiodic signal, the matched filtering of color TV signals would yield high sidelobes which cause the range ambiguity. To overcome this problem, the mismatched filter is proposed to suppress the correlation sidelobcs of matched filtering of TV signals. By utilizing the iteration process, this method could achieve the required peak sidclobc level. The impacts of the noise and target movement on mismatched filtering are also analysed, Simulation results are included to demonstrate the effectiveness of the proposed technique.

关键词： Color TV signal mismatched filtering Sidelobe suppression Passive radar

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维普期刊数据库

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Target detection method in passive bistatic radar

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Journal of Systems Engineering and Electronics 2020年第3期31卷 510-519页

作者： CHEN Gang WANG Jun National Laboratory of Radar Signal Processing Xidian UniversityXi’an 710071China

Owing to the advantages in detecting the low altitude and stealth target,passive bistatic radar(PBR)has received much attention in surveillance *** to the uncontrollable characteristic of the transmitted signal,a high level range or Doppler sidelobes may exist in the ambiguity function which will degrade the target detection *** filtering is a common method to deal with the ambiguity sidelobe ***,when mismatched filtering is applied,sidelobes cannot be eliminated *** residual sidelobes will cause false-alarm when the constant false alarm ratio(CFAR)is *** deal with this problem,a new target detection method based on preprocessing is *** this new method,the ambiguity range and Doppler sidelobes are recognized and eliminated by the preprocessing method according to the prior *** is also employed to obtain the information of the target *** results and results on real data illustrate the effectiveness of the proposed method.

关键词： passive bistatic radar(PBR) mismatched filtering ambiguity sidelobe target detection

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维普期刊数据库

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