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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。
Radar network anti-stealth target detection technology is more concerned about the field of modern military issues, including multi-sensor data fusion technology is a hot issue, it is necessary to understand the concept and application of data fusion algorithm for testing Research provides a frame of reference. Therefore, this paper first describes the relationship between the detection problems under multisensor and the classical detection problems, and then analyzes and compares some typical detection fusion algorithms that emerged in recent years in the light of information theory. At the same time, some other possible types of algorithms are proposed . Finally, the impact of data fusion technology on the detection system and its significance for anti-stealth systems are illustrated by calculations.