一种新的主动声纳模糊均值CFAR检测器

为了改善主动声纳的检测性能,本文研究了非高斯分布混响背景下采用模糊逻辑方法进行恒虚警检测设计的问题,提出了一种二元分布式模糊均值恒虚警检测器,两个子检测单元分别计算映射到虚警空间的隶属函数值,通过融合中心得到全局隶属函数值,实现背景混响功率水平估计,从而进行目标判决.仿真结果表明,基于代数和融合准则的检测器性能是最稳健的,相比传统的二进制“与”逻辑以及“或”逻辑,能够提供更好的检测效果.

A New Fuzzy CA-CFAR of Active Sonar System

In order to improve the radar＇s detection performance, the problem of designing CFAR detector based on ffzzzy logic under non gaussian distributed reverberation background is studied in this paper. A kind of distributed fuzzy CA-CFAR detection scheme including two elements is proposed here. Two detectors compute the values of the membership function to the false alarm space from the samples of the reference cells,two values are combined in fusion center to produce a global member-function to estimate the background clutter power, and then finish decision. The simulation results indicate that the fuzzy.algebraic sum integrator provides most robust detection perlbrmance and better detection performance compared to conventional binary ＂AND＂ or ＂OR＂ CFAR.