WAS-GMTI模式下基于Relax算法的杂波抑制和参数估计方法

闫贺; 朱岱寅; 张劲东; 王旭东; 李勇; 毛新华; 吴迪

doi:10.11999/JEIT160859

WAS-GMTI模式下基于Relax算法的杂波抑制和参数估计方法

doi: 10.11999/JEIT160859

基金项目:

国家自然科学基金(61501231)，江苏省自然科学基金 (BK20150759)，航空科学基金(20152052027)，中央高校基本科研业务费专项资金(3082016NJ20160006)

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出版历程
- 收稿日期: 2016-08-22
- 修回日期: 2016-11-22
- 刊出日期: 2016-12-19

Clutter Suppression and Parameter Estimation Method in WAS-GMTI Mode Based on Relax Algorithm

Funds:

The National Natural Science Foundation of China (61501231), The Jiangsu Provincial Natural Science Foundation (BK20150759), The Aeronautical Science Foundation of China (20152052027), The Fundamental Research Funds for the Central Universities (3082016NJ20160006)

摘要

摘要: 该文提出一种基于Relax算法的杂波抑制和参数估计方法。该方法适用于多通道广域监视GMTI系统。在分析广域监视模式回波组成的基础上，结合Relax算法，设计了进行杂波抑制的迭代方法。相对于降维空时自适应处理(STAP)，该方法不需要估计杂波加噪声的协方差矩阵，因此可以在非均匀杂波环境下取得较优的杂波抑制效果。该文同时指出，在杂波抑制的基础上，针对存在动目标的距离-多普勒单元继续进行迭代，可实现动目标参数的精确估计。仿真结果验证了上述方法的有效性。
- SAR /
- 地面动目标识别 /
- Relax算法 /
- 杂波抑制 /
- 参数估计
Abstract: This paper proposes a clutter suppression and parameter estimation method based on Relax algorithm. The method is fit for the multi-channel Wide Area Surveillance (WAS) GMTI system. After analyzing the components of radar echoes in WAS-GMTI mode, an iterative clutter suppression method based on Relax algorithm is designed. Compared with the reduced-dimension Space Time Adaptive Processing (STAP) algorithm, the proposed method achieves better clutter suppression results in the nonhomogeneous environment since it has no need to estimate the clutter plus noise covariance matrix. Besides, based on the clutter suppression results, precision parameters of moving targets can be obtained if the iterations are continued in the range-Doppler cells with the detected moving targets. The proposed method is validated by digital simulations.
- SAR /
- Ground Moving Target Identification (GMTI) /
- Relax algorithm /
- Clutter suppression /
- Parameter estimation

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参考文献(18)

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