摘要
提出了一种对机载相控阵雷达进行空时两维杂波预滤波的处理方法.利用机载雷达杂波分布轨迹可由载机速度和雷达系统参数确定这一先验知识,设计了简单有效的空时两维两脉冲杂波对消器,并将其用作降维空时自适应处理(STAP)算法的预处理,进一步改善降维STAP算法的动目标检测性能.计算机仿真分析表明,预滤波处理对正侧视和非正侧视机载雷达都有很好的杂波抑制能力,进一步改善了常规动目标显示处理和降维STAP算法的动目标检测性能.该算法的有效性由某实测数据处理结果所验证.
The location of the ground clutter in angle-Doppler space is mainly dependent on the platform movement and phased array airborne radar parameters. In this paper, we propose a pre-filtering approach by using a two-dimensional (2-D) pulse-to-pulse non-adaptive canceller which makes full use of such a- priori information. The 2-D pulse-to-pulse non-adaptive canceller is more easily designed and does not require significant additional processing. Therefore, it can be used as an efficient pre-filtering tool before the conventional MTI processing and the adaptive processing. Theoretical analysis and computer simulation results illustrate that the proposed pre-filtering approach can effectively suppress the clutter not only for the sidelooking airborne radar but also for the non-sidelooking airborne radar, and can further improve the moving target detection performance. Experimental results by using the measured data show the validity of the proposed pre-filtering approach.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2008年第2期216-222,共7页
Journal of Xidian University
基金
国家自然科学基金资助项目(60672128)
关键词
相控阵机载雷达
杂波抑制
空时自适应处理
预滤波
phased array airborne radar
clutter suppression
space-time adaptive processing (STAP)
pre-filtering