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

作　　者：Zhenkai Zhang Jiehao Zhu Yubo Tian Hailin Li 

机构地区：[1]College of Electronic Information, Jiangsu University of Science and Technology [2]Science and Technology on Electronic Information Control Laboratory [3]Key Laboratory of Radar Imaging and Microwave Photonics, Nanjing University of Aeronautics and Astronautics

出　　处：《Journal of Systems Engineering and Electronics》2014年第6期1004-1010,共7页系统工程与电子技术（英文版）

基　　金：supported by the Fundamental Research Funds for the Central Universities(NJ20140010);the Scientific Research Start-up Funding from Jiangsu University of Science and Technology;the Scienceand Technology on Electronic Information Control Laboratory Project;the Priority Academic Program Development of Jiangsu Higher Education Institutions

摘　　要：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.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.

关 键 词：sensor selection low probability of intercept（LPI） interacting multiple model（IMM） particle filter target tracking 

分 类 号：TN958[电子电信—信号与信息处理]