引用本文: | 杨璟茂,吕晓德,岳琦,张汉良. 机载双基雷达杂波分类及抑制方法[J]. 雷达科学与技术, 2018, 16(6): 608-614.[点击复制] |
YANG Jingmao, LYU Xiaode, YUE Qi, ZHANG Hanliang. Classification and Suppression of Airborne Bistatic Radar Clutter[J]. Radar Science and Technology, 2018, 16(6): 608-614.[点击复制] |
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摘要: |
机载双基雷达杂波的空时分布受双基构型影响大,且具有非常严重的距离依赖性。对复杂的机载双基雷达杂波进行分类分析和抑制方法研究具有重要的意义。先对机载双基雷达杂波进行建模仿真,对于杂波分布与构型相关的现象,根据双基构型和对应的杂波分布对机载双基雷达杂波作出了较为一般化的分类,并分析讨论了不同类型杂波分布特性;针对具有严重距离依赖性的机载双基雷达杂波,提出了训练单元协方差矩阵加权平均的方法。相比于传统训练单元协方差矩阵求和平均的方法,算法仿真证明改进的算法在3类构型下的杂波抑制效果均有明显的提高,为双基雷达杂波抑制提供了新的处理方法。 |
关键词: 空时自适应处理 距离依赖性 杂波抑制 协方差矩阵 |
DOI:10.3969/j.issn.1672-2337.2018.06.005 |
分类号:TN959.73 |
基金项目: |
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Classification and Suppression of Airborne Bistatic Radar Clutter |
YANG Jingmao, LYU Xiaode, YUE Qi, ZHANG Hanliang
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1.Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;2.National Key Laboratory of Science and Technology on Microwave Imaging, Beijing 100190, China;3.University of Chinese Academy of Sciences, Beijing 100049, China
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Abstract: |
The space-time distribution of airborne bistatic radar clutter is influenced greatly by bistatic configuration and has severe range dependency. It is very important to study the clutter characteristics and corresponding clutter suppression methods in different bistatic configurations. In this paper, airborne bistatic radar clutter is modeled and simulated. Aiming at the clutter related to bistatic configuration, we present a relatively general classification of clutter associating with different bistatic configurations. In addition, we analyze and discuss the clutter distribution characteristics of different types. Aiming at the airborne bistatic radar clutter of severe range dependence, this paper proposes a weighted average method of covariance matrix of training unit. Compared with traditional methods, the simulation results show that the improved algorithm has improved the clutter suppression effect under three types of configurations, and provides a new processing method for bistatic radar clutter suppression and target detection. |
Key words: space-time adaptive processing range dependency clutter suppression covariance matrix |