A Constrained POMDP Formulation and Algorithmic Solution for Radar Resource Management in Multi-Target Tracking

Journal article (2021)

Authors

M.I. Schöpe Microwave Sensing, Signals & Systems -

J.N. Driessen Microwave Sensing, Signals & Systems -

Alexander Yarovoy Microwave Sensing, Signals & Systems -

Research Group

Microwave Sensing, Signals & Systems () (TU Delft)

Radar Resource Management Lagrangian Relaxation Partially Observable Markov Decision Process

To reference this document use:

http://resolver.tudelft.nl/uuid:fac4c97e-b136-4665-a3b0-b08a2d61ca97

More Info

expand_more

Published Date

2021

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Microwave Sensing, Signals & Systems

Abstract

The radar resource management problem in a multitarget tracking scenario is considered. The problem is solved using a dynamic budget balancing algorithm. It models the different sensor tasks as partially observable Markov decision processes and solves them by applying a combination of Lagrangian relaxation and policy rollout. The algorithm has a generic architecture and can be applied to different radar or sensor systems and cost functions.This is shown through simulations of two-dimensional tracking scenarios. Moreover, it is demonstrated how the algorithm allocates the sensor time budgets dynamically to a changing environment in a nonmyopic fashion. Its performance is compared with different resource allocation techniques and its computational load is investigated with respect to several input parameters.

Files

31_47.pdf

(pdf | 1.55 Mb)

- Embargo expired in 01-01-2022