Abstract:

Due to the model error and the observation error, the inaccurate estimate of target threat exists when tracking targets. To solve the problem, minimizing the uncertainty of target threat is taken as the goal when managing sensors. Based on the Hidden Markov Model and risk theory, a sensor management model under the control of target threat level risk is proposed in this paper. A distributed optimization algorithm based on the multiple Agent theory is designed to get the optimal management scheme. Simulation experiments show that the model proposed in this paper can successfully solve the management problem in the case of insufficient sensor resources, and that by the algorithm in this paper perfect solutions can be obtained with a fast computational speed.

Key words: sensor management, threat level, the uncertainty, risk theory