摘要
航迹关联是实现分布式多传感器信息融合的关键技术.针对传统的模糊关联算法正确关联率低的问题,基于小波变换对传统的模糊关联算法进行了改进,提出一种新的航迹关联算法.首先,通过小波分析对目标航迹数据序列进行处理,获取新的航迹特征;然后,采用模糊均值聚类法确立隶属度函数、综合相似度和阈值判决准则,完成对已获取的新航迹特征的分类关联.仿真实验表明:与模糊算法相比,该算法的正确关联率提高约0.30.
Track association is a key technology for implementing the distributed multi-sensor information fusion.Aimed at the lower precise correlation rate of the conventional fuzzy association algorithm,the conventional fuzzy association algorithm based on wavelet transform was improved and a new track association algorithm proposed.Firstly,the target track data sequence is processed by using the wavelet analysis,to get the new characteristics of the track.And then,the membership function,integrated similarity and the decision-making rule are determined by using the fuzzy mean clustering algorithm,to realize the association of classification of obtained new track characteristics.Simulation results show that the correct association rate of the proposed algorithm is increased by 0.30,compared with the fuzzy algorithm.
出处
《空军雷达学院学报》
2010年第5期326-328,332,共4页
Journal of Air Force Radar Academy
关键词
航迹关联
小波阈值
模糊算法
track association
wavelet threshold
fuzzy algorithm
