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计算机工程

• 人工智能及识别技术 • 上一篇    下一篇

模糊综合决策航迹关联算法分析与改进

朱璟 1,彭展 2   

  1. (1.海军指挥学院 信息战研究系,南京 211800; 2.解放军海军 92196部队,山东 青岛 266011)
  • 收稿日期:2015-10-10 出版日期:2016-11-15 发布日期:2016-11-15
  • 作者简介:朱璟(1983—),男,讲师、硕士,主研方向为模式识别与智能系统;彭展,高级工程师。

Analysis and Improvement of Track Association Algorithm with Fuzzy Synthetic Decision

ZHU Jing  1,PENG Zhan  2   

  1. (1.Department of Information Warfare,Naval Command College,Nanjing 211800,China; 2.92196 Troops,PLA Navy,Qingdao,Shandong 266011,China)
  • Received:2015-10-10 Online:2016-11-15 Published:2016-11-15

摘要: 模糊航迹关联算法在处理密集环境下以及机动航迹较多的滤波结果时,能够表现出比基础航迹关联算法更理想的关联效果。但当模糊因素集中因素数目较多且模糊因素权值分布相对均衡时,会使评价结果难以分辨、航迹关联效果变差。为此,研究并改进模糊综合决策航迹关联算法,通过引入模糊数学综合评判中的双层结构,提出双层结构模糊综合决策航迹关联算法。仿真结果表明,与原算法相比,改进算法可使航迹平均关联判决正确率提高2.85%。

关键词: 模糊综合决策, 模糊因素, 关联准则, 紧密度矩阵, 双层结构

Abstract: When dealing with the filtering results under dense environment or with more motor tracks,the fuzzy track correlation algorithm can associate much better than basic algorithms.When the amount of elements in the fuzzy factor sets is bigger and the distribution of fuzzy factor weight is in relative equilibrium,it is likely to be difficult to differentiate the results of appraisement,which leads up to the track association of a sort.Thereby,this paper studies and ameliorates the fuzzy track association algorithm,and puts forward the fuzzy synthetic decision track association algorithm based on double-layer architecture,by introducing double-layer structure from the synthetic appraisement in fuzzy mathematics.Simulation result shows that,compared with the former fuzzy synthetic decision track association algorithm,this improved algorithm increases 2.85 percent on the average correct rate of track association.

Key words: fuzzy synthetic decision, fuzzy factor, association criterion, compactness matrix, double-layer structure

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