Adaptive forgetting factor; direction-of-arrival; matrix completion; recursive least squares; target tracking; Direction of arrival estimation; Direction of arrival tracking; Directionof-arrival (DOA); Forgetting factors; Lower complexity; Matrix completion; Power; Recursive least squares; Targets tracking; Computer Science (all); Materials Science (all); Engineering (all)
Résumé :
[en] In this paper, we propose an algorithm for fast direction-of-arrival (DoA) tracking in reconfigurable intelligent surface aided systems. We reduce the number of radio-frequency chains in the access point to reduce overall power consumption which leads to signal data loss resulting in inaccurate DoA estimation. The incomplete signal data is recovered by truncated nuclear norm regularization alternating direction method of multipliers algorithm leading to a reduction of power consumption. The adopted iterative matrix completion algorithm is robust and fast, hence suitable for DoA tracking applications. In order to reduce the high computational cost of the subspace DoA estimation algorithms, a novel adaptive forgetting factor (AF) recursive least squares algorithm is proposed for fast DoA estimation and tracking. We adopted low-complexity adaptive moment estimation method for AF. We evaluated and compared the proposed algorithm with the state-of-the art algorithms under single-path propagation and multi-path propagation conditions. Based on the analysis and simulation results, after applying matrix completion, the proposed DoA tracking algorithm outperforms the state-of-the-art algorithms.
Disciplines :
Ingénierie électrique & électronique
Auteur, co-auteur :
ZORKUN, Aral ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom ; Universidad Politécnica de Madrid, Centro de Procesamiento de Información y Telecomunicaciones, Escuela Técnica Superior de Ingenieros de Telecomunicación, Madrid, Spain ; Interdisciplinary Centre for Security, Reliability and Trust (SnT), Luxembourg, Luxembourg
Salas-Natera, Miguel A. ; Universidad Politécnica de Madrid, Centro de Procesamiento de Información y Telecomunicaciones, Escuela Técnica Superior de Ingenieros de Telecomunicación, Madrid, Spain
Rodriguez-Osorio, Ramon Martinez; Universidad Politécnica de Madrid, Centro de Procesamiento de Información y Telecomunicaciones, Escuela Técnica Superior de Ingenieros de Telecomunicación, Madrid, Spain
CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom ; Interdisciplinary Centre for Security, Reliability and Trust (SnT), Luxembourg, Luxembourg
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Energy Efficient Low-Complexity RIS-Aided 3-D DoA Estimation and Target Tracking Algorithm via Matrix Completion
Date de publication/diffusion :
05 décembre 2024
Titre du périodique :
IEEE Access
ISSN :
2169-3536
Maison d'édition :
Institute of Electrical and Electronics Engineers Inc.
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