检测数据触合算法分析

雷达组网反隐身目标探测技术是现代军事领域比较关注的一个问题,其中的多传感器数据融合技术又是一热点问题,因而有必要从概念和应用上对其进行了解并为检测数据融合算法的研究提供一个可参照的框架。为此,本文首先说明了多传感器下的检测问题和经典检测问题的相互关系,进而结合信息论的观点就近年来出现的一些典型检测融合算法进行了分析和比较,同时提出了其它可能的一些算法类型。最后,通过计算说明数据融合技术对探测系统的影响和对反隐身系统的重要意义。

ANALYSIS OF DATA FUSION ALGORITHMS FOR DETECTION PROBLEM

In recent years, the radar network systems for modern military application, such as anti-stealth tactical and strategic surveillance systems, have been investigated with great interest, and multisensor data fusion has been a hot issue. Consequently, the critical need is to understand it in concept and application and provide a common frame of reference for detection data fusion algorithms. To fill that need, in this paper, the relation between the multisensor detection problem and classical detection problem is pointed out. Discrimination information is used to analyze and compare, in principle, the various representative data fusion algorithms for detection that appeared in some open literatures, and the other possible algorithms are proposed as well. The effects of data fusion on surveillance systems are discussed with some numerical results, and it is shown that data fusion technique is of great importance to anti-stealth systems.