• Electronics Technology •

### A multi-target tracking algorithm based on Gaussian mixture model

Lili SUN1,2(), Yunhe CAO1,*(), Wenhua WU1(), Yutao LIU2()

1. 1 National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China
2 Science and Technology on Communication Networks Laboratory, Shijiazhuang 050081, China
• Received:2019-04-30 Online:2020-06-30 Published:2020-06-30
• Contact: Yunhe CAO E-mail:18729215385@163.com;caoyunhe@mail.xidian.edu.cn;wuwhxidian@163.com;abcqly@gmail.com
• About author:SUN Lili was born in 1995. She received her B.S. degree in electronic information science and technology from Qingdao University of Science and Technology, Qingdao, China, in 2017. She is a master degree candidate in the National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China. Her research interest is multi-target tracking. E-mail: 18729215385@163.com|CAO Yunhe was born in 1978. He received his B.S. degree in technique of measuring control and instrument engineering from Xidian University, Xi'an, China, in 2001, and M.S. and Ph.D. degrees in electrical engineering from Xidian University, Xi'an, China, in 2004 and 2006, respectively. He is currently a professor with the National Laboratory of Radar Signal Processing, Xidian University. His research interests include array signal processing, MIMO radar, and wideband radar signal processing. E-mail: caoyunhe@mail.xidian.edu.cn|WU Wenhua was born in 1991. He received his B.S. degree in mathematics from Xidian University, Xi'an, China, in 2014. He is currently working toward his Ph.D. degree in the National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China. His research interests include MIMO radar, radar and communication integration. E-mail: wuwhxidian@163.com|LIU Yutao was born in 1981. He received his B.S. degree from Harbin Institute of Technology, Harbin, China, in 2005. He received his M.S. and Ph.D. degrees from Harbin Institute of Technology, Harbin, China, in 2007 and 2010, respectively. He is currently a senior engineer working at the Science and Technology on Communication Networks Laboratory in Shijiazhuang, China. His research interests include cognitive radios and communication networks. E-mail: abcqly@gmail.com
• Supported by:
the National Natural Science Foundation of China(61771367);the Science and Technology on Communication Networks Laboratory(HHS19641X003);This work was supported by the National Natural Science Foundation of China (61771367) and the Science and Technology on Communication Networks Laboratory (HHS19641X003)

Abstract:

Since the joint probabilistic data association (JPDA) algorithm results in calculation explosion with the increasing number of targets, a multi-target tracking algorithm based on Gaussian mixture model (GMM) clustering is proposed. The algorithm is used to cluster the measurements, and the association matrix between measurements and tracks is constructed by the posterior probability. Compared with the traditional data association algorithm, this algorithm has better tracking performance and less computational complexity. Simulation results demonstrate the effectiveness of the proposed algorithm.