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本文研究机载火控雷达检测地面慢速目标的空时二维处理方法 .由于机载火控雷达是前视阵 ,工作波长短 ,载机运动速度快 ,脉冲重复频率低 ,使得杂波多普勒频率多重模糊 ,主瓣杂波带宽大 ,常规处理性能很差 .本文重点分析了机载火控雷达检测地面慢速目标的特点 ,指出主瓣杂波是制约系统检测性能的主要因素 ,并结合这些特点比较了机载火控雷达滤除主瓣杂波的时空级联自适应处理和空时联合自适应处理的区别 ,比较了几种情况下系统对慢速目标的检测性能 .
This paper studies space-time two-dimensional processing method of airborne fire control radar to detect slow targets on the ground.Because airborne fire control radar is forward-looking array, working wavelength is short, carrier speed is fast, pulse repetition frequency is low, Le frequency multiple ambiguity, mainlobe clutter bandwidth is large, conventional processing performance is poor.This paper analyzes the characteristics of airborne fire control radar to detect slow ground targets, and pointed out that mainlobe clutter is the main factor that restricts the detection performance of the system, and Combining these characteristics, the difference between spatiotemporal cascade adaptive filtering and spatio-temporal joint adaptive processing for mainlobe clutter filtering of airborne fire control radar is compared and the detection performance of the system against slow targets is compared.