A random matrix based method for tracking multiple extended targets

Hongyan Zhu, Tingting Ma, Shuo Chen, Wen Jiang

科研成果: 书/报告/会议事项章节会议稿件同行评审

8 引用 (Scopus)

摘要

The paper presented an extension of random matrix-based approach [1] to track multiple extended targets in the cluttered environment, which can provide the estimates for target kinematics and target extension, as well as the corresponding identity information. To do this, the DBSCAN clustering (Density Based Spatial Clustering of Applications with Noise) method is employed to divide the whole measurement set into several distinct clusters, with each cluster representing the measurement subset from the same target or false alarm. Moreover, when multiple extended targets are in close proximity, it is hard to partition the measurement set accurately. In this case, the FCM (Fuzzy C means) method is incorporated to produce a soft clustering result. After that, inspired by the idea of Joint Probabilistic Data Association (JPDA), a series of operations are implemented to produce state estimates for multiple extended targets, including generating the feasible events, evaluating the association probabilities and integrating the estimates from multiple association hypotheses, etc. Simulation results demonstrated the effectiveness of the proposed approach.

源语言英语
主期刊名FUSION 2014 - 17th International Conference on Information Fusion
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9788490123553
出版状态已出版 - 3 10月 2014
活动17th International Conference on Information Fusion, FUSION 2014 - Salamanca, 西班牙
期限: 7 7月 201410 7月 2014

出版系列

姓名FUSION 2014 - 17th International Conference on Information Fusion

会议

会议17th International Conference on Information Fusion, FUSION 2014
国家/地区西班牙
Salamanca
时期7/07/1410/07/14

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