摘要
多传感器信息融合是多源信息综合处理的一项新技术。从信息论的观点出发,导出多传感器信息融合系统中的冗余性与互补性的定量描述,分析了传感器冗余性与互补性特点,并从该角度出发,利用最小条件熵准则来解决多传感器信息融合中的目标识别问题,该方法的主要优点是可以充分有效利用多传感器信息,使融合系统满足获得的信息量最大。
Multi - sensor information fusion is a new technology of comprehensive processing of the information of much sources. This article makes a quantitative description of the redundancy and complementary from the viewpoint of information theory, and analyzes its characteristic. It utilizes minimum condition entropy criterion to solve the problem of goal discerning in multisensor information fusion. The major adeantage of this method can fully utilize information of multi - sensor and minimize the amount of sensors.
出处
《计算机与数字工程》
2005年第8期77-79,共3页
Computer & Digital Engineering
关键词
多传感器信息融合
冗余性
互补性
multi- sensor information fusion, redundancy, complementary
