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基于异类传感器的战场运动目标识别算法
引用本文:朱峰,窦丽华,杨国胜,陈文颉.基于异类传感器的战场运动目标识别算法[J].北京理工大学学报,2002,22(3):365-367.
作者姓名:朱峰  窦丽华  杨国胜  陈文颉
作者单位:北京理工大学,自动控制系,北京,100081
摘    要:利用异类传感器的互补特性,提出了一种新的运动目标识别算法:选取目标速度、第1主频、第2主频作为识别的有效特征;运用模糊推理得到目标分类信息的基本概率分配函数;把D-S证据推理和基于概率分配函数的决策相结合,获得对目标的有效识别.仿真结果证明了该算法的有效性.

关 键 词:声传感器  雷达  目标识别  模糊推理  D-S证据推理
文章编号:1001-0645(2002)03-0365-03
收稿时间:2002/1/17 0:00:00
修稿时间:2002年1月17日

An Algorithm Based on Heterogenous Sensors for the Recognition of Moving-Targets on the Battlefield
ZHU Feng,DOU Li hu,YANG Guo sheng and CHEN Wen jie.An Algorithm Based on Heterogenous Sensors for the Recognition of Moving-Targets on the Battlefield[J].Journal of Beijing Institute of Technology(Natural Science Edition),2002,22(3):365-367.
Authors:ZHU Feng  DOU Li hu  YANG Guo sheng and CHEN Wen jie
Institution:Dept. of Automatic Control, Beijing Institute of Technology, Beijing100081, China;Dept. of Automatic Control, Beijing Institute of Technology, Beijing100081, China;Dept. of Automatic Control, Beijing Institute of Technology, Beijing100081, China;Dept. of Automatic Control, Beijing Institute of Technology, Beijing100081, China
Abstract:Making use of the characteristics of complementation of heterogenous sensors, a new target recognition algorithm is proposed. Velocity, the first and the second dominant frequency of the target are taken as the effective characters, and the expression of basic probability assignment function for the target character is obtained through fuzzy inference. By combining the D S evidential reasoning with the decision based on the basic probability assignment function, reliable recognition of the target is then obtained. Simulation results proved the algorithm to be effective.
Keywords:acoustic sensor  radar  target recognition  fuzzy inference  D  S evidential reasoning
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