【摘要】 雷达目标检测系统中,由于回波中的杂波与噪声严重影响着系统的检测性能,为在一定的虚警率下提高系统的检测概率,提出一种基于删除单元平均恒虚警(CFAR,constant false alarm rate)检测器的多分层判决门限方法。并由此原理设计出自适应CFAR检测器,与传统的恒虚警检测器相比,明显地改善了系统的适应性和检测性能。关键词雷达目标检测;恒虚警;门限更多还原

【Abstract】 In the radar target checking system,because the cluster and noise in the echoes can seriously affect the checking performance of the system,this paper proposes a judgment threshold method based on the deleted unit mean constant false alarm rate checker,which has carried out the quantization correction segment-by-segment,in order to improve the checking probability of the system under certain false alarm rate.And the self-adaptive CFAR checker has been designed according to this principle,which has evidently improved the adaptability and checking performance of the system,compared to the traditional constant false alarm rate checker.更多还原