一种基于压缩感知的天波超视距雷达短时海杂波抑制方法

严韬; 陈建文; 鲍拯

doi:10.11999/JEIT160576

一种基于压缩感知的天波超视距雷达短时海杂波抑制方法

doi: 10.11999/JEIT160576

基金项目:

国家自然科学基金(61471391)

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- 被引次数: 0
出版历程
- 收稿日期: 2016-06-01
- 修回日期: 2016-12-15
- 刊出日期: 2017-04-19

Sea Clutter Suppression Method for Over-the-horizon Radar with Short Coherent Integration Time Based on Compressed Sensing

Funds:

The National Natural Science Foundation of China (61471391)

摘要

摘要: 针对传统时域对消方法在短时条件下杂波重构精度低、抑制性能差的缺陷，该文提出一种基于压缩感知的天波雷达短时海杂波重构及抑制方法。首先对天波雷达短时回波模型进行了建模，在此基础上分析了利用压缩感知进行短时海杂波重构的合理性；其次分别从基于复冗余正弦字典的回波稀疏表示、基于降维字典的传感矩阵表示和基于改进的正交匹配追踪算法的杂波重构及抑制3个步骤对所提算法进行了详细阐述；最后进行了计算机仿真分析和实测数据验证。相关结果表明，在短时条件下，所提方法较传统时域对消方法和子空间类抑制方法具有较优的杂波抑制性能和工程应用价值。
- 天波超视距雷达 /
- 压缩感知 /
- 相干积累时间 /
- 海杂波抑制 /
- 冗余字典
Abstract: To deal with the drawbacks of low reconstruction accuracy and poor suppression performance of clutter with short Coherent Integration Time (CIT) for traditional time domain cancellation method, a method of sea clutter reconstruction and suppression based on Compressed Sensing (CS) is proposed. Firstly, echoes model of Over-The-Horizon Radar (OTHR) with short CIT is established, and the rationality using CS to reconstruct sea clutter is analyzed. Secondly, the proposed method is elaborated in detail from sparse representation of echoes model based on redundant sinusoidal?dictionary, representation of sensing matrix based on dimensionality reduction dictionary and sea clutter reconstruction and suppression based on the modified Orthogonal Matching Pursuit (OMP) algorithm respectively. Finally, the computer simulation analysis and measured data verification are accomplished. The results indicate that the clutter suppression performance and engineering application value of the proposed method are better than the traditional time domain cancellation method and subspace methods in the condition of short CIT.
- Skywave Over-The-Horizon Radar (OTHR) /
- Compressed Sensing (CS) /
- Coherent Integration Time (CIT) /
- Sea clutter suppression /
- Redundant dictionary

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