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基于随机集的复杂境况下多目标测量
引用本文:陈良洲,施文康.基于随机集的复杂境况下多目标测量[J].上海交通大学学报,2007,41(6):881-884.
作者姓名:陈良洲  施文康
作者单位:1. 华中科技大学,仪器科学与技术系,武汉,430074
2. 上海交通大学,仪器科学与工程系,上海,200240
基金项目:国防科技重点实验室基金
摘    要:在多传感器多目标融合系统中,多传感器所提供的信息常常不同类,难以融合,建立多传感器多目标的随机集观测模型可以解决统一融合问题.基于随机集理论,根据虚警及漏测的情况,给出了目标的信任测度及其全局密度.从单传感器单目标推广到多传感器多目标,建立了实用的多目标随机集测量模型,并根据实例证明了该模型的实用性和有效性.

关 键 词:多目标测量  随机集  杂波  信任测度  全局密度
文章编号:1006-2467(2007)06-0881-04
收稿时间:2006-07-08
修稿时间:2006年7月8日

Multi-targets Measurement Based on Random-set in Complex Background
CHEN Liang-zhou,SHI Wen-kang.Multi-targets Measurement Based on Random-set in Complex Background[J].Journal of Shanghai Jiaotong University,2007,41(6):881-884.
Authors:CHEN Liang-zhou  SHI Wen-kang
Abstract:In a multi-sensor and multi-target fusion system,it is hard to fuse information collected by multi-sensor which is always in different data types. A random set measurement model to multi-target is a solution to uniform fusion.Based on random sets theory,false alarms and miss-detections in the background were considered,then,belief measure and its global density of targets were presented.From single-sensor single-target to multi-sensor multi-target,a useful random set measurement model to multi-target was proposed.The examples show that the proposed approach holds good effect and practicability on multi-target measurement.
Keywords:multi-target measurement  random set  clutter  belief measure  global density
本文献已被 CNKI 维普 万方数据 等数据库收录!
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