Radar Resource Management for Multi-Target Tracking Using Model Predictive Control
Thies de Boer (Student TU Delft)
Max Ian Schöpe (Microwave Sensing, Signals & Systems)
Hans Driessen (Microwave Sensing, Signals & Systems)
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Abstract
The radar resource management problem in a multi-target tracking scenario is considered. Partially observable Markov decision processes (POMDPs) are used to describe each tracking task. Model predictive control is applied to solve the POMDPs in a non-myopic way. As a result, the computational complexity compared to stochastic optimization methods such as policy rollout is dramatically reduced while the resource allocation results maintain similar. This is shown through simulations of dynamic multi-target tracking scenarios in which the cost and computational complexity of different approaches are compared.