[1]刘贵喜,杨万海.多传感器融合系统最小代价冗余及优化算法[J].东南大学学报(自然科学版),2000,30(1):68-72.[doi:10.3969/j.issn.1001-0505.2000.01.013]
 Liu Guixi,Yang Wanhai.Minimizing Cost Redundance and Optimizing Algorithm for Multisensor Fusion System[J].Journal of Southeast University (Natural Science Edition),2000,30(1):68-72.[doi:10.3969/j.issn.1001-0505.2000.01.013]
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多传感器融合系统最小代价冗余及优化算法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
30
期数:
2000年第1期
页码:
68-72
栏目:
自动化
出版日期:
2000-01-20

文章信息/Info

Title:
Minimizing Cost Redundance and Optimizing Algorithm for Multisensor Fusion System
作者:
刘贵喜 杨万海
西安电子科技大学电子工程学院,西安 710071
Author(s):
Liu Guixi Yang Wanhai
School of Electronic Engineering, Xidian University, Xi’an 710071
关键词:
多传感器融合 组合优化 模拟退火
Keywords:
sensor fusion combinatorial optimization simulated annealing
分类号:
TP274.2;TN911.23
DOI:
10.3969/j.issn.1001-0505.2000.01.013
摘要:
多传感器融合系统具有高度的容错性能.为了解决多传感器融合系统中如何选择冗余传感器并构成最小代价配置的问题,本文研究了(N,N/2+1)冗余结构,并建立了满足系统有效度约束的最小代价优化准则.此外,还给出了求解该组合优化问题的模拟退火算法.仿真计算结果表明,其优化准则和算法十分有效.
Abstract:
Multisensor fusion system is characterized by its highly fault toleration. In order to solve the problem of how to choose redundant sensors and form a minimum cost configuration in multisensor fusion system, the (N,N/2+1) redundant system is studied, and a optimizing criteria which fulfilling the system’s availability constraint with minimum cost is presented. In addition, simulated annealing algorithm for solving the combinatorial optimization problem is also given. The simulation results show the optimization criteria and algorithm are very effectual.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目:国防科技预研基金项目资助(98J16.2.2DZ0130).
第一作者:男,1966年生, 博士研究生,副教授.
更新日期/Last Update: 2000-01-20