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

Gang CHEN; Jun WANG

doi:10.1631/FITEE.1900150

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

Regular Papers | Updated：2022-05-19

- Robust mismatched filtering algorithm for passive bistatic radar using worst-case performance optimization
- 外辐射源雷达中基于最差性能最优的稳健失配滤波算法
- Frontiers of Information Technology & Electronic Engineering Vol. 21, Issue 7, Pages: 1074-1084(2020)
- Affiliations：
  
  National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China
- Author bio：
  
  Jun WANG, E-mail: wangjun@xidian.edu.cn
- Funds：
- DOI：10.1631/FITEE.1900150
  CLC： TN958.97
- Received：19 March 2019，
  
  Revised：2020-;4-10，
  
  Published：2020-07
- Accepted：
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Gang CHEN, Jun WANG. Robust mismatched filtering algorithm for passive bistatic radar using worst-case performance optimization[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(7): 1074-1084.
DOI：

Gang CHEN, Jun WANG. Robust mismatched filtering algorithm for passive bistatic radar using worst-case performance optimization[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(7): 1074-1084. DOI： 10.1631/FITEE.1900150.

摘要

外辐射源雷达利用可获得的民用及商用照射源探测目标。这些照射源信号并非为雷达设计，信号结构中存在的时变特性使其模糊函数存在严重的距离模糊副峰。失配滤波技术能有效抑制副峰，可应用于外辐射源雷达。然而，当参考信号信噪比较低时，外辐射源雷达系统的副峰抑制性能急剧下降。为解决该问题，提出一种基于最差性能最优的失配滤波算法。该算法考虑参考信号信噪比的影响，据此构建新的优化问题模型。通过求解该优化问题，可得低参考信号信噪比情况下的最优失配解。理论推导和仿真分析说明所提算法可在较低参考信号信噪比情况下实现副峰抑制。实测数据进一步验证了该方法的有效性。

Abstract

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.

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references

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