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基于Bayes的航迹概率数据关联算法
引用本文:胡昌林,郭 博.基于Bayes的航迹概率数据关联算法[J].现代雷达,2018,40(5):41-45.
作者姓名:胡昌林  郭 博
作者单位:南京电子技术研究所,解放军63769部队
摘    要:数据关联是多传感器信息融合的核心技术,其常用的航迹数据关联方法主要有NN、PDA、JPDA、MHT等算法。常用关联算法有的不适合强杂波或多目标环境、有的计算量大、有的时效性差等不足。文中采用了基于贝叶斯航迹概率的数据关联算法,来实现雷达航迹之间数据关联。首先介绍贝叶斯和航迹关联技术原理;其次描述贝叶斯算法过程;最后通过仿真证明该关联算法有效性。

关 键 词:数据关联    信息融合    多传感器    贝叶斯    雷达航迹

An Algorithm of Track Probability Data Association Based on Bayes
HU Changlin and GUO Bo.An Algorithm of Track Probability Data Association Based on Bayes[J].Modern Radar,2018,40(5):41-45.
Authors:HU Changlin and GUO Bo
Affiliation:Nanjing Research Institute of Electronics Technology and The Unit 63769 of PLA
Abstract:Data association is the core technology of multi-sensor information fusion, and the commonly used methods of track data association are NN,PDA, JPDA, MHT and so on. Some commonly used correlation algorithm is not suitable for strong clutter or multi target environment, some calculation capacity, some poor timeliness, the data association algorithm for Bayesian track based on probability, to realize the radar track and radar track data association. First, we introduce the principles of Bayesian and track correlation technology. Secondly, we describe the process of Bayesian algorithm, the association rule and the association process. Finally, we prove the validity of the algorithm through simulation examples.
Keywords:data association  data fusion  multi-sensor  Bayes  radar track
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