【作者】 刘汝杰； 袁保宗；

【Author】 Liu Rujie Yuan Baozong (The Institute of Information Science,Northern JiaoTong University)

【机构】 北方交通大学信息科学研究所；

【摘要】 信息融合技术通过对多传感器信息的综合,从而达到比任何单传感器更为精确的结果。对动物感觉信号融合机制的研究发现:融合后信号的输出具有"增长性"。作为贝叶斯理论推广的D-S证据理论同样具有这一特性,D-S融合机制和动物认知模型有相似之处。在决策层上用D-S理论进行融合可以获得较好的结果。更多还原

【Abstract】 Information fusion techniques combine data from multiple sensors to achieve more accurate result than could be achieved by the use of a single sensor alone.A research on sensory signal fusion mechanism of animals suggests that sensor evidence accrues rather than is averaged.The D-S evidence method,as an extension to Bayes theory,also has the property of accruing evidence.There are similarities between D-S fusion mechanism and cognitive model.An ideal result can be got ifD-S method is used when making decision.更多还原