段崇棣,
张欣,
李渝,
杨晓超
西安空间无线电技术研究所 西安 710100
基金项目:国家自然科学基金(61701395, 61871138, 41806211)
详细信息
作者简介:王伟伟：男，1982年生，高级工程师，研究方向为天基雷达系统设计、阵列信号处理、SAR成像
段崇棣：男，1971年生，研究员，研究方向为天基雷达系统设计、天基微波遥感技术
张欣：男，1987年生，工程师，研究方向为星载SAR信号处理
李渝：男，1989年生，工程师，研究方向为天基雷达微弱目标检测技术
杨晓超：男，1983年生，高级工程师，研究方向为空时自适应处理技术、天基雷达设计
通讯作者:王伟伟 www_xidian@163.com
中图分类号:TN957.52计量
文章访问数:277
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被引次数:0
出版历程
收稿日期:2019-07-25
修回日期:2020-06-08
网络出版日期:2020-07-13
刊出日期:2020-11-16
A Discrete Side-lobe Clutter Recognition Method Using Space-time Steering Vectors for Space Based Radar System
Weiwei WANG,,Chongdi DUAN,
Xin ZHANG,
Yu LI,
Xiaochao YANG
Xi’an Institute of Space Radio Technology, Xi’an 710100, China
Funds:The National Natural Science Foundation of China (61701395, 61871138, 41806211)
摘要
摘要:由于天基雷达覆盖范围广，大量强离散杂波(小型岛礁、陆地铁塔等)会从天线旁瓣进入雷达系统，其多普勒特征与目标相同，极易造成虚警。针对以上问题，该文提出基于空时导向约束的天基雷达离散旁瓣杂波判别方法，该方法首先选取空时自适应处理(STAP)杂波抑制后检测到的潜在“目标”(包含真实目标与离散旁瓣杂波)距离多普勒单元及其附近单元；然后根据杂波多普勒频率与空间角度的耦合关系获得各杂波单元对应的空时导向矢量；最后利用获得新的导向矢量构成的滤波器再次对“目标”距离多普勒单元及其附近单元进行滤波处理，此时真实目标信杂噪比会大幅度降低，而离散旁瓣杂波信杂噪比变化不大，从而实现离散旁瓣杂波的判别。理论分析及机载实测数据处理证明该方法具有良好的稳健性和可靠性。
关键词:天基预警雷达/
离散旁瓣杂波/
空时自适应处理/
空时导向矢量
Abstract:On account of the large coverage of space based radar, a lot of discrete strong side-lobe clutter, which shares familiar Doppler feature with the real moving targets, can be received by the radar system and hence results in false alarms. For this problem, a discrete side-lobe clutter recognition method using space-time steering vectors for space based radar system is proposed. In this method, the “Suspected targets”, including both the real moving targets and discrete side-lobe clutter, are detected after suppressing clutter by employing the Space-Time Adaptive Processing (STAP). The range-Doppler cells where “suspected targets” located in or around are selected. Afterwards, the space time steering vectors of them are obtained based on the coupling relationship between Doppler frequencies and space angles of clutter. Lastly, the above range-Doppler cells are processed again by the adaptive processing filters which are derived from the new space-time steering vectors. Obviously, the signal-clutter-noise ratio of real moving target will be reduced significantly, while it will not change much for the discrete side-lobe clutter. Therefore, the discrete side-lobe clutter can be identified by using the proposed method. Theoretical analyses and multi-channel airborne radar experiments demonstrate the effectiveness and stability of this method.
Key words:Space based early warming radar/
Discrete side-lobe clutter/
Space-Time Adaptive Processing (STAP)/
Space-time steering vector
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