非参量量化秩检测器在相关杂波中的性能

The Performance of Non-Parametric Quantized Rank Detector in Correlate Sweep-to-Sweep weibull Clutter

本文以高斯——马尔可夫随机过程为基础,产生相关的韦伯杂波,用Monte-Carlo模拟和解析计算相结合的方法分析量化秩检测器(QRD)的检测性能,得出如下结论:1)把QRD在方位扫描时的秩量化输出序列看作二态一阶马氏链,并由此通过解析式计算出的虚警概率和用Monte-Carlo方法直接模拟所得的结果几乎相同。2)文献所指出的最佳第一门限在相关杂波中同样存在,并且可以认为保持不变。最后。本文给出了在相关韦伯杂波下QRD的检测性能曲线以及自适应QRD的方案。

The performance of non-parametric quantized rank detector(QRD) in correlate Weibull clutter is investigated by using Monte-Carlosimulation and analytical method. The results of simulation and analysisshow:1) The false alarm probability which is obtained by direct samplingsimulation is almost the same as one which is gotten by the analytic methodwhich is based on that the output serles of the quantized rank is looked asa two-state one-class Markov train;2) The optimum first. threshold, which is derived in reference 1, alsoexists in correlate Weibull clutter, and it can be looked as unchanged.Finaly, an adaptive QRD structure is given.