摘要
在双基地机载雷达中,由于地面杂波存在距离依赖性,使得基于距离单元回波数据平均的杂波协方差矩阵估计存在误差,导致空时自适应处理的杂波抑制性能严重下降。基于配准的方法沿杂波空时分布曲线采样,补偿杂波距离依赖性,然而该方法由于采样点过多导致运算量巨大。针对该问题,利用双基地机载雷达杂波散射点的复幅度受收发天线调制,具有稀疏分布的特点,提出了一种基于稀疏采样的杂波谱补偿方法,该方法通过设置采样门限来降低采样点数,减小重构杂波数据的运算量。计算机仿真结果表明,该方法能够有效地降低重构杂波的运算量,减小双基地机载雷达杂波的距离依赖性,提高空时自适应信号处理的杂波抑制性能。
In a bistatic airborne radar, since the range-dependence （RD） problem exists in the received ground clutter spectrum, the clutter covariance matrix, which is estimated from the average of the clutter data of each range cell, cannot be accurately estimated, and it makes the clutter suppression performance of space- time adaptive processing （STAP） decline. The registration based compensation method compensates the RD problem by sampling along the direction-Doppler curve of the clutter data, but requires heavy computation load due to the large sampling points. Aiming at this problem, the sparse sampling clutter spectrum compensation method is proposed by using the sparse characteristic of the clutter complex amplitude, which is modulated by the transmitter and receiver antennas in the bistatic airborne radar. The proposed method reduces the sampling point number and decreases the computation load of the clutter data reconstruction by setting the sampling threshold. The computer simulation results show that the proposed method can reduce the computation load, mitigate the RD problem of the ground clutter in bistatic airborne radar and thus improve the clutter rejection performance of STAP.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2012年第6期1120-1125,共6页
Systems Engineering and Electronics
基金
国家重点基础研究发展计划(973计划)(2011CB707001)
国家自然科学基金(61101249)
国家杰出青年科学基金(60825104)
教育部长江学者和创新团队支持计划(IRT0954)资助课题
关键词
双基地机载雷达
空时自适应处理
稀疏采样
杂波谱补偿
bistatic airborne radar
space time adaptive processing （STAP）
sparse sampling
clutter spectrum compensation
