摘要
通过分析分布式检测系统的工作原理,提出了一种基于全参考滑窗观测样本的剔除最大均值-有序(OST-CA-CFAR)检测方法,它对检测单元中的所有杂波样本分别进行有序统计(OS)和剔除最大平均(TCA)处理,再对结果求最大来获得对杂波功率水平的估计,推导了平均虚警概率、平均检测概率的解析表达式,并与其他检测方案进行了对比,分析表明,该方法在多目标和杂波边缘背景情况下能有效提高系统的性能.
By analyzing the principle of distributed detection system, a novel OSTCA-CFAR is presented based on full test cells. Order statistics and trimmed cell average are used in all test cells to get the local estimations, the detector select greater of local estimations as the total noise power estimation. In this paper, the analytic expressions of and is derived for this detector. A comparison with other CFAR detectors is also presented. Result shows that the detection performance is obviously improved in multiple targets and clutter edge situation.
出处
《微电子学与计算机》
CSCD
北大核心
2008年第3期8-11,共4页
Microelectronics & Computer
关键词
恒虚警
信号检测
有序统计量
均值检测器
constant false alarm
signal detection
order statistics
cell average detector