量测预测值对量测值信任度的异质传感器融合  

A Dissimilar Sensor Fusion Method based on Confidence of Measurement Predictor to Measurement Value

作　　者：罗志斌[1] 刘先省[1] 胡振涛[1] 

机构地区：[1]河南大学计算机与信息工程学院,河南开封475001

出　　处：《火力与指挥控制》2008年第2期21-25,共5页Fire Control & Command Control

基　　金：国家自然科学基金资助项目(60272024);河南省高校杰出科研人才创新工程项目(2003KYCX003);河南省高校创新人才培养工程资助项目

摘　　要：针对异质传感器目标跟踪系统可能出现的传感器漏检现象,基于多传感器融合的量测预测值对各传感器量测值的信任度算出任意两传感器量测值之间的相似度,利用概率源合并理论和非负矩阵特征向量理论算出各传感器量测值与其他传感器的综合相似度,以此确定每个传感器的权重。该算法实时调整各传感器量测值的融合权重,有效地抑制了漏检传感器量测值对量测融合值的不利影响。仿真结果表明,该算法有效地解决了传感器的漏检问题,提高了系统的跟踪精度。For the sensor missing detection of target tracking system of the dissimilar sensors data fusion, this paper presents an algorithm of data fusion. The algorithm calculates the similarity of measurement value of arbitrary two sensors based on the measurement predictor of multi-sensor fusion to the confidence of each sensor measurement value, the integrated similarity of each sensor measurement value and other sensors measurement values based on the theories of probability source combination and characteristic vector of non-negative matrix is calculated to determine the weight of each sensor. This algorithm can adjust the real time fused weights of sensors, efficiently eliminate the bad influences of sensor measurement values of missing detection on measurement fusion. Simulation results show that the algorithms can effectively solve the missing detection of the sensors ,and increase the tracking accuracy of the system.

关 键 词：数据融合 误差传递公式 量测预测值 信任度 相似度矩阵 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]