Chen Li

Work place: Institute of Synthetic Automation, Xi’an Jiaotong University, Xi’an, china

E-mail: lynnlc@126.com

Website:

Research Interests: Computational Engineering, Engineering

Biography

Chen Li was born on February 25, 1981. She received the B.Sc. and PH.D. degrees from Xi’an Jiaotong University, in 2003 and 2008, respectively.
In 2008, she joined the Xi’an Jiaotong University, School of software at Xi’an, in The China, as a Teacher. His representative published articles lists as follow: Data association for target tracking by IR sensors (Aircraft Engineering and Aerospace technology, 2007), A new smoothing approach with diverse fixedlags based on target motion model (International Journal of Automation and Computing, 2006), Data association for target tracking by several passive sensors (Canada: 2007 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2007), etc. Her research interests include Bayesian estimation, accident risk assessment, and stochastic, discrete-event-controlled processes on hybrid state spaces. Especially, her researches about bearing-only target tracking have certain influence.

Author Articles
Track Processing Approach for Bearing-Only Target Tracking

By Hui Chen Chen Li

DOI: https://doi.org/10.5815/ijisa.2009.01.06, Pub. Date: 8 Oct. 2009

This paper mainly studies angle-measurement based track processing approach to overcome the existing problems in the applications of traditional approaches for bearing-only target locating and tracking system. First, this paper gives suited data association algorithms including track initiation and point-track association. Moreover, a new tracking filtering association gate method is presented through analysis of the target motion characteristics in polar coordinates for improving bearing-only measurement confirming efficiency of real target and limiting false track overextension with the dense clutter. Then, by analyzing the feasibility of using multi-model technology, the IMM is adopt as filtering algorithm to solve existing problem in bearing-only tracking for complicated target motion in two dimensional angle plane. As the results, the two dimensional bearing-only tracking accuracy of real target is improved and false tracking is greatly limited. Moreover, computation cost of IMM is analyzed in view of the real-time demand of bearing-only tracking. Finally, this paper gives some concrete summary of multi-model choosing principle. The application of the proposed approach in a simulation system proves its effectiveness and practicability.

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