information-fusion-algorithm
所属分类:matlab编程
开发工具:matlab
文件大小:1385KB
下载次数:126
上传日期:2011-03-22 11:36:08
上 传 者:
hanlihua
说明: 本文利用模糊理论中的高斯隶属
度函数来获得模糊观测下具有概率特性的似然函数,并且由此似然函数得到每个传感器提供信息的可信度;再将各传感器的可
信度转化成基本概率赋值函数即mass 函数;最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获
得的结果比直接结果具有更高的精度和可靠性。
(The method uses fuzzy theory in the Gaussian
fuzzy membership function to obtain a probable characteristic under observation likelihood function,and the resulting likelihood
function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed
to a mass function.Finally,multi-sensor information is combined by using evidence theory.Simulation of target recognition
shows that the results obtained have higher accuracy and reliability.)
文件列表:
利用模糊推理的证据理论信息融合算法.pdf (1490979, 2011-03-05)
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