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由于在毫米波频率时目标和地物杂波的反射特性有很大差别,因此在用于较低的频率时,应采用不同的信号处理方法.要在很高的频率下得到改善分辨能力的全部优越性,在设计毫米波雷达导引头时应考虑目标和杂波的信号特征及其统计特性.提出了一个统计信号处理方法,它可用于设计机载毫米波导引头的恒虚警(CFA)处理器.该方案由三个不同的功能器件所组成:(1)用作消除噪声和信号与杂波去相关的自适应滤波器;(2)用于辨别杂波统计分布的方向图分类器;(3)恒虚警处理器.这种方案能够使机载毫米波雷达在每个扫描期间处理更多的信息,而把恒虚警率维持到一固定的与所遇到的杂波类型相适应的门限值上.
Due to the large differences in the reflection characteristics of clutter at the millimeter-wave frequency, different signal processing methods should be used when dealing with lower frequencies. To improve the resolving power at very high frequencies All the advantages, the signal characteristics and statistical characteristics of the target and clutter should be considered when designing the millimeter-wave radar seeker.A statistical signal processing method is proposed, which can be used to design the CFAR CFA) processor, which consists of three different functional devices: (1) adaptive filters used to eliminate noise and signal and clutter decorrelation; (2) directional pattern to identify clutter statistical distributions Classifier; (3) CFAR processor. This scheme enables airborne millimeter-wave radar to process more information during each scan while maintaining a constant false alarm rate to a fixed and encountered miscellaneous Wave type to adapt to the threshold value.