Radar Resource Management for Multi-Target Tracking Using Model Predictive Control

Conference paper (2021)

Authors

Thies de Boer Student
M.I. Schöpe Microwave Sensing, Signals & Systems - EEMCS
J.N. Driessen Microwave Sensing, Signals & Systems - EEMCS
Research Group
Microwave Sensing, Signals & Systems (EEMCS) (TU Delft)
Copyright: © 2021 Thies de Boer, M.I. Schöpe, J.N. Driessen
Model Predictive Control Radar Resource Management Partially Observable Markov Decision Process Constrained Optimization
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Published Date

2021

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Microwave Sensing, Signals & Systems

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.