基于递归最大信噪比准则的雷达自适应距离旁瓣抑制  

Radar Adaptive Range Sidelobe Suppression Based on Recursive MSNR Criteria

作　　者：张劲东[1] 顾陈[1] 朱晓华[1] 李彧晟[1] 

机构地区：[1]南京理工大学电子工程与光电技术学院,江苏南京210094

出　　处：《南京理工大学学报》2009年第3期366-370,共5页Journal of Nanjing University of Science and Technology

摘　　要：针对脉冲压缩雷达强目标距离旁瓣掩盖弱目标的问题,提出了一种基于递归信噪比准则的旁瓣抑制算法。该算法利用递归函数得到的目标信息作为下一次计算的先验信息来自适应地实现距离旁瓣抑制。该文推导了算法原理,提出了实现步骤,并进行了算法优化。理论和仿真结果表明:在高、低信噪比条件下对单个目标的提取,在高信噪比条件下对单个和多个相邻运动目标提取时,该算法的旁瓣抑制效果优于基于最小均方误差准则的自适应算法,并且具有稳健性好的特点。A sidelobe compression algorithm based on recursive maximum signal-to-noise ratio （MSNR） is proposed to solve the problem that the weak target may be covered by the range sidelobe of the strong one in pulse compression radar. This algorithm uses the apriori information obtained by recursive function to adaptively suppress range sidelobes. An algorithm principle is first deduced, then algorithm steps are given according to it, and the algorithm is optimized. Theory and simulation results show that this algorithm can effectively and reliably suppress sidelobes and has better sidelobe suppression performance in extracting single targets in high and low signal-to-noise ratio （SNR） and single moving targets and multiple adjacent moving targets in high SNR than adaptive algorithms of minimum mean square error criteria.

关 键 词：自适应雷达 旁瓣 抑制 最大信噪比准则 递归函数 

分 类 号：TN957.51[电子电信—信号与信息处理]