低重频数据辅助的近程杂波抑制方法

文才; 王彤; 吴建新

doi:10.13443/j.cjors.2013072701

低重频数据辅助的近程杂波抑制方法

西安电子科技大学雷达信号处理国家重点实验室,陕西西安 710071

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文才 E-mail: wencai33@163.com

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出版历程
- 收稿日期: 2013-07-26
- 网络出版日期: 2020-12-30
- 发布日期: 2014-08-29

Low PRF data aided near-range clutter suppression method

National Lab of Radar Signal Processing, Xidian University, Xi’ an Shaanxi 710071, China

摘要

摘要: 针对机载非正侧视雷达的距离非平稳杂波抑制问题，提出了一种低重频数据辅助的俯仰预滤波方法，用于滤除距离非平稳的近程杂波.该方法在无俯仰主瓣杂波信号的低重频数据域选取训练样本，并采用自适应俯仰空间频率补偿技术估计协方差矩阵，能够得到较理想的俯仰自适应方向图.推导了近程杂波俯仰维杂波秩的计算公式，为近程杂波抑制提供了理论支撑.在滤除距离非平稳的近程杂波后，能为方位多普勒空时自适应处理器提供距离平稳的训练样本，使其性能明显改善.仿真实验验证了该方法的有效性.
- 机载雷达 /
- 空时自适应处理 /
- 距离非平稳杂波 /
- 自适应波束形成
Abstract: Clutter suppression for non-sidelooking airborne radar is a challenging problem due to the range-dependent clutter. A novel low pulse repetition frequency (low-PRF) data aided prefiltering algorithm in elevation for suppression of the range-dependent near-range clutter is proposed. The developed method obtains the training samples from another elevation-mainlobe-clutter-free low-PRF data, and the adaptive elevation spatial frequency compensation technique is utilized to estimate the covariance matrix. Thus, a desired elevation adaptive pattern can be obtained. Additionally, the clutter rank in elevation domain is derived to provide theoretical guidance for near-range clutter suppression. The performance of the azimuth-Doppler space-time adaptive processing(STAP) can be improved notablely, because the range independency of the training samples for azimuth-Doppler STAP is enhanced after near-range clutter suppression.Numerical examples are given to demonstrate the effecfiveness of the proposed algorithm.
- airborne radar /
- space-time adaptive processing /
- range-dependent clutter /
- adaptive beamforming

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参考文献(6)

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