低重频数据辅助的近程杂波抑制方法  

Low PRF data aided near-range clutter suppression method

作　　者：文才[1] 王彤[1] 吴建新[1] 

机构地区：[1]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

出　　处：《电波科学学报》2014年第4期729-737,744,共10页Chinese Journal of Radio Science

基　　金：国家自然科学基金(No.61101241;No.61372133);中央高校基本科研业务费专项资金(K50511020008)

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.Clutter suppression for non-sidelooking airborne radar is a challenging prob- lem due to the range-dependent clutter. A novel low pulse repetition frequency （low- PRF） data aided prefihering algorithm in elevation for suppression of the range-depend- ent 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 effectiveness of the proposed algo- rithm.

关 键 词：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 

分 类 号：TN958[电子电信—信号与信息处理]