Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (1): 165-174.doi: 10.12305/j.issn.1001-506X.2023.01.20

• Systems Engineering • Previous Articles    

Non-myopic scheduling method for mobile active/passive sensor in clutter environment

Lei AN, Zhaorui LI, Bing JI   

  1. Department of Electronic and Optical Engineering, Army Engineering University Shijiazhuang Campus, Shijiazhuang 050003, China
  • Received:2021-07-21 Online:2023-01-01 Published:2023-01-03
  • Contact: Lei AN

Abstract:

For multi-target tracking in clutter environment, a non-myopic scheduling method for radiation control is presented based on a mobile active/passive sensor system. Firstly, a scheduling model is established to describe the motion state and measurement results of multi-target, sensor scheduling actions and so on. At the same time, based on the principle of radar and the idea of interception probability, an improved radiation risk quantification method is proposed. Then, the Gaussian mixture probability hypothesis density filtering algorithm is used to predict the non-myopic tracking accuracy, the proposed improved quantization method is used to predict the non-myopic radiation cost, and the improved grey wolf optimization algorithm is used to solve the sensor scheduling scheme. Finally, the scheduling scheme is executed to obtain multi-target measurement information, and the joint generalized labeled multi-Bernoulli filtering algorithm is used to calculate the target estimation state. The simulation results indicate that the proposed scheduling method can effectively control the radiation cost while guaranteeing the tracking accuracy, and has obvious advantages over other methods.

Key words: sensor scheduling, multi-target tracking, random finite set, radiation control, grey wolf optimization algorithm

CLC Number: 

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