Journal of Systems Engineering and Electronics

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Novel sensor selection strategy for LPI based on an improved IMMPF tracking method

Zhenkai Zhang1,2,*, Jiehao Zhu2, Yubo Tian1, and Hailin Li3   

  1. 1. College of Electronic Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China;
    2. Science and Technology on Electronic Information Control Laboratory, Chengdu 610036, China;
    3. Key Laboratory of Radar Imaging and Microwave Photonics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

  • Online:2014-12-29 Published:2010-01-03


Sensor platforms with active sensing equipment such as radar may betray their existence, by emitting energy that will be intercepted by enemy surveillance sensors. The radar with less emission has more excellent performance of the low probability of intercept (LPI). In order to reduce the emission times of the radar, a novel sensor selection strategy based on an improved interacting multiple model particle filter (IMMPF) tracking method is presented. Firstly the IMMPF tracking method is improved by increasing the weight of the particle which is close to the system state and updating the model probability of every particle. Then a sensor selection approach for LPI takes use of both the target's maneuverability and the state's uncertainty to decide the radar's radiation time. The radar will work only when the target's maneuverability and the state's uncertainty exceed the control capability of the passive sensors. Tracking accuracy and LPI performance are demonstrated in the Monte Carlo simulations.

Key words: sensor selection, low probability of intercept (LPI), interacting multiple model (IMM), particle filter, target tracking