Electronics and Control

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

  • YI Xiao ,
  • ZHANG Huaiwei ,
  • CAO Xinying ,
  • HE You
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  • Research Institute of Information Fusion, Naval Aeronautical Engineering Institute, Yantai 264001, China

Received date: 2012-04-17

  Revised date: 2012-06-13

  Online published: 2012-09-11

Supported by

National Natural Science Foundation of China (61032001); Program for New Century Excellent Talents in University(NCET-11-0872)

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.

Cite this article

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 . DOI: 10.7527/S1000-6893.2013.0040

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