摘要
采用多因素模糊综合决策方法,研究了雷达与AIS(船舶自动识别系统)目标航迹关联算法.建立了该算法的模糊因素集、评价集、单因素模糊评判矩阵、多因素模糊综合决策准则、以及航迹关联与脱离质量等数学模型。计算机仿真验证了该方法可以改进目标航迹的精度与可靠性。同时讨论了关联门限取值等问题。
By way of multi-factor fuzzy integration decision-making, the algorithms of the ship tracks correlation from radar and AIS (Automatic Identification System) were researched, and the mathematic models were set up including the fuzzy factor sets, evaluation sets, single-factor fuzzy judgment matrix, multi-factor fuzzy integration decision-making rule, and the quality of the correlation and disengagement. The results of the simulation of computer verify that the methods can improve the accuracy and reliability of the tracks. And it was discussed how to choose the threshold value of correlation.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2006年第z2期903-905,908,共4页
Journal of System Simulation
基金
福建省自然科学基金项目(A0410025)
福建省教育厅科技项目(JA05294)
集美大学预研基金项目(ZA2005004)
关键词
船舶自动识别系统
雷达
航迹
关联
模糊综合决策
算法
仿真
ship automatic identification system
radar
track
correlation
fuzzy integration decision-making
algorithm
simulation
