关键词: 传感器管理, 地面目标跟踪, 道路约束, 多普勒盲区, 樽海鞘群算法

Abstract: A multi-sensor cooperative management method is proposed to effectively track the ground target under road constraints and control the radiation loss of the sensor system. The sensor management process is described as a partially observable Markov decision process. A road-constrainted target tracking model and a sensor interception loss model are established, the calculation methods for tracking accuracy and interception loss are presented, and a correction method for target prediction state in Doppler blind zone is proposed. In order to solve the problem that a management scheme is difficultly got when the system state dimension is high, a Levy flight-salp swarm algorithm is designed to obtain a high-quality solution quickly. The simulated results show that the proposed algorithm has better global search capability, and can find high-quality solutions while shortening the optimization time compared with the classic optimization algorithms. The proposed management method can effectively solve the problem of ground target tracking, which not only guarantees the completion quality of the tracking task, but also improves the survivability of the sensor system.

Key words: sensormanagement, groundtargettracking, roadconstraint, Dopplerblindzone, salpswarmalgorithm