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基于最小二乘法的K-NN航迹关联算法研究
引用本文:罗琳玲,罗克露. 基于最小二乘法的K-NN航迹关联算法研究[J]. 微计算机信息, 2010, 0(1): 176-178
作者姓名:罗琳玲  罗克露
作者单位:电子科技大学计算机科学与工程学院,成都610054
摘    要:航迹关联是分布式多平台数据融合系统中的一项关键技术,在民用空管系统、军用战场态势估计方面都有重要的应用。本文提出基于最小二乘法的K近邻域统计关联算法,用最小二乘法拟合航迹曲线,通过极大似然值来判断航迹是否关联。仿真实验表明这种算法在没有状态估计协方差的情况下是可行的。

关 键 词:多传感器  航迹关联  最小二乘法  极大似然值

A K-Nearest Neighbor Track Correlation Algorithm Based on Least Mean Square
LUO Lin-ling LUO Ke-lu. A K-Nearest Neighbor Track Correlation Algorithm Based on Least Mean Square[J]. Control & Automation, 2010, 0(1): 176-178
Authors:LUO Lin-ling LUO Ke-lu
Affiliation:LUO Lin-ling LUO Ke-lu (School of Computer,UESTC of China,Chengdu 610054,China)
Abstract:Track correlation is a key technique in distributed multi-platform data fusion system,and it has important application in aspects of civil aviation management and situation and threat assessment.In this paper,a method of Least Mean Square is proposed based on traditional K-Nearest Neighbor track correlation algorithm.We create track curve with Least Mean Square,then judge if the tracks are correlated through the Maximum likelihood.The simulation results show this new algorithm is feasible.
Keywords:Multi-sensor  Track correlation  Least mean square  Maximum likelihood  
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