自适应门限下杂波恒虚警算法

Theoretic study of the CFAR algorithm for clutters with a self adaptive threshold

以服从瑞利分布、韦布尔分布和对数正态分布的3类杂波为例,介绍了自适应检测门限下利用重要采样技术计算杂波的虚警概率以及在给定虚警概率的情况下杂波参数的设置和估计问题,给出了这些杂波中单脉冲信号的发现概率与信杂比及虚警概率在计算机上的仿真结果.当只知道杂波分布情况时,可用重要采样方法来计算其虚警概率。

In the modeling and simulation of a radar system, Pfa algorithms are implemented with a great amount of data, which brings about the contradiction between computing precision and time length. The so called “important sampling technology” is one of the methods to solve the problem. With the example of clutters conforming to distribution of Rayleigh, Weibull and logarithm normal, the computation of Pfa with “important sampling technology” in the case of self adaptive threshold and the estimation of clutters parameters with given Pfa are discussed. Also, the computer simulation results of Pd, S/N and Pfa for single pulse signal among clutter is given.