Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (4): 692-702.doi: 10.23919/JSEE.2020.000044

• Electronics Technology • Previous Articles     Next Articles

Sensor scheduling for ground maneuvering target tracking in presence of detection blind zone

Gongguo XU1,*(), Ganlin SHAN1(), Xiusheng DUAN2()   

  1. 1 Department of Electronic and Optical Engineering, Shijiazhuang Campus of Army Engineering University, Shijiazhuang 050003, China
    2 School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050013, China
  • Received:2019-05-14 Online:2020-08-25 Published:2020-08-25
  • Contact: Gongguo XU E-mail:xugguo@yeah.net;shanganlin@163.com;sjzdxsh@163.com
  • About author:XU Gongguo was born in 1990. He received his B.S. degree from University of Science and Technology of China in 2014, and M.S. degree from Army Engineering University in 2017. Now, he is a Ph.D. candidate in Army Engineering University. His research interests include multi-sensor management and information fusion. E-mail: xugguo@yeah.net|SHAN Ganlin was born in 1962. He received his B.S., M.S. and Ph.D. degrees from Nanjing University of Science and Technology in 1983, 1991 and 1994, respectively. Now, he is a professor at Army Engineering University. His research interests include air defense weapon system and information fusion. E-mail: shanganlin@163.com|DUAN Xiusheng was born in 1970. He received his B.S. and M.S. degrees from College of Electronic Engineering in 1993 and 1996, and Ph.D. degree from Army Engineering University in 2009. Now, he is a professor at Shijiazhuang Tiedao University. His research interests include failure diagnosis and information fusion. E-mail: sjzdxsh@163.com
  • Supported by:
    the National Defense Pre-Research Foundation of China(0102015012600A2203);This work was supported by the National Defense Pre-Research Foundation of China (0102015012600A2203)

Abstract:

Continuous and stable tracking of the ground maneuvering target is a challenging problem due to the complex terrain and high clutter. A collaborative tracking method of the multisensor network is presented for the ground maneuvering target in the presence of the detection blind zone (DBZ). First, the sensor scheduling process is modeled within the partially observable Markov decision process (POMDP) framework. To evaluate the target tracking accuracy of the sensor, the Fisher information is applied to constructing the reward function. The key of the proposed scheduling method is forecasting and early decisionmaking. Thus, an approximate method based on unscented sampling is presented to estimate the target state and the multi-step scheduling reward over the prediction time horizon. Moreover, the problem is converted into a nonlinear optimization problem, and a fast search algorithm is given to solve the sensor scheduling scheme quickly. Simulation results demonstrate the proposed nonmyopic scheduling method (Non-MSM) has a better target tracking accuracy compared with traditional methods.

Key words: sensor scheduling, ground maneuvering target, detection blind zone (DBZ), decision tree optimization