摘要
针对有源干扰环境下机载MIMO雷达的杂波抑制问题,利用预白化的思想,提出了一种基于知识辅助的MIMO-STAP抗干扰算法——KA-J-STAP方法,首先利用载机平台运动参数、雷达系统参数、干扰方位等先验信息构造相关协方差矩阵,后利用相关协方差矩阵对接收数据进行预白化,对杂波和噪声预置零,对于预白化后的数据空时自适应处理。仿真结果表明,相比于未采用知识辅助的算法,所提KA-J-STAP算法在干扰环境下仍能保持较好的杂波抑制性能。
To solve the problem of clutter suppression of airborne MIMO radar in active jamming conditions, an MIMO-STA antijamming algorithm based on knowledge-aided KA-J-STAP is proposed by using the theory of pre-whitening. Firstly,the corresponding covariance model is formed by using the prior knowledge such as the characteristics of the radar system, aerospace platform and the direction of jam- ming. Then the corresponding covariance matrix is used to pre-whiten the received data. Finally, the spacetime adaptive processing is carried out on the pre-whiten data. Then simulation result shows that the algorithm proposed has better clutter suppression performance in jamming conditions
出处
《现代防御技术》
北大核心
2015年第6期158-162,168,共6页
Modern Defence Technology
基金
国家自然科学基金(61372033)
