基于区间灰数的分布式多目标航迹关联算法

doi:10.7527/S1000-6893.2013.0040

Abstract

Abstract:

This paper mainly discusses the distributed multi-target track association problems with system bias. It analyzes how the time-variable bias affects the detected tracks in a remote configured 2D radar network, regards the target location as a cognitive uncertainty, and puts forward two methods, with which the uncertainty can be expressed into gray interval numbers. Starting from this, a track association algorithm is presented. This algorithm selects the interval deviation degree as a measure of the difference between tracks, establishes a gray correlation analysis model, and points out the associated pair by a gray relational degree order. Further research is done about the constraint condition of the algorithm and the prerequisites to use the algorithm are provided. Monte Carlo simulations for common system bias show that this algorithm has good robust performance and wide practicability.

Key words: track association, system bias, gray interval number, radar network, information fusion

CLC Number:

YI Xiao, ZHANG Huaiwei, CAO Xinying, HE You. A Track Association Algorithm for Distributed Multi-target Systems Based on Gray Interval Numbers[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(2): 352-360.

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A Track Association Algorithm for Distributed Multi-target Systems Based on Gray Interval Numbers

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