Multiple maneuvering target data association based on genetic algorithms

Jianhua Wang, Weiting Liu, Min Wang, Bing Zhang, Jian Wang
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引用次数: 1

Abstract

This paper studies the problem of data association in multiple maneuvering targets locating and tracking. Genetic algorithm is used successfully in solving the complex optimization and the industrial engineering problem. Recently researching on genetic algorithm has attracted a lot of attention. This paper puts forward a way of using genetic algorithms to resolve the problem of multiple target data association. The simulation results show that the algorithm used in this paper is able to avoid the local extremum and the outcome is satisfactory.
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基于遗传算法的多机动目标数据关联
研究了多机动目标定位与跟踪中的数据关联问题。遗传算法成功地应用于复杂优化和工业工程问题的求解。近年来,遗传算法的研究引起了人们的广泛关注。提出了一种利用遗传算法解决多目标数据关联问题的方法。仿真结果表明,本文所采用的算法能够避免局部极值,得到了满意的结果。
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