Maneuvering Resource Allocation for Coordinated Target Tracking in Airborne Radar Network

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Bibliographic Details
Title: Maneuvering Resource Allocation for Coordinated Target Tracking in Airborne Radar Network
Authors: J. Yan, J. Dai, W. Pu, H. Liu, Maria Greco
Contributors: Yan, J., Dai, J., Pu, W., Liu, H., Greco, Maria
Publication Year: 2023
Collection: ARPI - Archivio della Ricerca dell'Università di Pisa
Subject Terms: Airborne radar, Bayesian Cramér-Rao lower bound, maneuvering resource allocation, Optimization, proximal alternating direction method of multiplier, Radar, Radar tracking, Resource management, Target tracking, Trajectory
Description: In this paper, a performance driven maneuvering resource allocation (MRA) scheme is developed for target tracking in airborne radar network (ARN). To exploit the degree of freedom of ARN mobility for target tracking, we formulate a MRA scheme for maximizing the target tracking performance, under the practical constraints on the airborne radar's speed and attitude variation rate, as well as threat zone and collision avoidance. We adopt the Bayesian Cramér-Rao lower bound as a metric function to gauge the target tracking performance, and build the MRA scheme as a non-convex optimization problem. Instead of using the heuristic based methods to solve the resulting non-convex optimization problem, we design an efficient three-step solution technique, which incorporates inactive constraints elimination and active constraints linearization procedure. In such a case, the resulting relaxed problem can be solved with guaranteed convergence through the proximal alternating direction method of multipliers. Simulation results demonstrate that the proposed MRA scheme can greatly increase the target tracking accuracy, and is computationally more efficient than the heuristic algorithms
Document Type: article in journal/newspaper
File Description: ELETTRONICO
Language: English
Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000986544300001; volume:71; firstpage:1563; lastpage:1573; numberofpages:11; journal:IEEE TRANSACTIONS ON SIGNAL PROCESSING; https://hdl.handle.net/11568/1176830; https://ieeexplore.ieee.org/document/10100910
DOI: 10.1109/TSP.2023.3265882
Availability: https://hdl.handle.net/11568/1176830
https://doi.org/10.1109/TSP.2023.3265882
https://ieeexplore.ieee.org/document/10100910
Rights: info:eu-repo/semantics/closedAccess ; license:NON PUBBLICO - accesso privato/ristretto ; license uri:standardiris.PRI01
Accession Number: edsbas.467F649A
Database: BASE
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