多基地雷达反隐身分布式检测融合算法研究

随着目标隐身技术的发展,单雷达已不能够及时地发现隐身目标.本文首先利用目标的前/侧向散射特性和多传感器分布式检测两个方面的优势建立了两种布站方式的多基地雷达系统,继而提出了基于聂曼-皮尔逊(Neyman-Pearson)准则下的局部决策积累融合算法,给出了系统检测概率和虚警概率的表达式,提出了基于遗传算法(Genetic Arithmetic)的最佳门限计算方法,最后对该系统的检测性能进行了仿真,仿真结果说明了系统反隐身的有效性和融合算法的优越性,本文结论对系统的工程实现具有一定的参考价值.

Study on Fusion Arithmetic of Multi Radar Distributed Detection System Against Stealthy Targets

With the development of target stealthy technology,single radar can't find stealthy target timely.This paper firstly establishes multi radar system making use of target's forward or side scatter and multi sensor distributed detection.Secondly,it puts forward fusion arithmetic based on Neyman-Pearson criterion and accumulation of local decision.Subsequently,the formulations of system's fusion detection probability and its false alarm probability are presented.The paper presents the calculation method of the best detection threshold based on Genetic Algorithm.Finally,computer simulation is carried out about system performance.The result given demonstrates superiority of fusion arithmetic and system performance on anti-stealthy.The conclusion of this paper is of important reference significance for the realization of system.