Systems Engineering and Electronics ›› 2019, Vol. 41 ›› Issue (11): 2424-2430.doi: 10.3969/j.issn.1001-506X.2019.11.04

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Multi-formation track initiation method based on Gaussian mixture EM clustering

XIONG Wei, GU Xiangqi, XU Congan, LYU Yafei   

  1. Institute of Information Fusion, Naval Aeronautical University, Yantai 264001, China
  • Online:2019-10-30 Published:2019-11-04

Abstract: Focusing on the difficulty in effective track initiation of formation targets with existing track initiation methods, a method of multi-formation target track initiation based on Hough transformation and Gaussian mixture expactation maximazation (EM) clustering is proposed on the basis of Hough transformation and its derivation algorithm. Firstly, the timing information of the measured data and the motion parameters of the target are used to screen out a large number of false measurements. Then the preliminary track information can be obtained by Hough transformation on the measured data after screening. Then the obtained track is pre-clustered by using the phase difference matrix, and the clustering center initialization is completed. Finally, Gaussian mixture EM clustering is carried out to obtain the clustering results. The simulation results show that compared with Hough transformation and its derivation algorithm, this method can quickly and effectively start the track of formation targets, and solve the track starting confusion problem caused by dense targets.

Key words: multi-formation target, Hough transform, Gaussian mixture expactation maximazation (EM) clustering, track initiation

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