Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
Preprint, 2024
Direction of arrival (DoA) estimation is a common sensing problem in radar, sonar, audio, and wireless communication systems. It has gained renewed importance with the advent of the integrated sensing and communication paradigm. To fully exploit the potential of such sensing systems, it is crucial to take into account potential hardware impairments that can negatively impact the obtained performance. This study introduces a joint DoA estimation and hardware impairment learning scheme following a model-based approach. Specifically, a differentiable version of the multiple signal classification (MUSIC) algorithm is derived, allowing efficient learning of the considered impairments. The proposed approach supports both supervised and unsupervised learning strategies, showcasing its practical potential. Simulation results indicate that the proposed method successfully learns significant inaccuracies in both antenna locations and complex gains. Additionally, the proposed method outperforms the classical MUSIC algorithm in the DoA estimation task.
Model-based machine learning.
DoA estimation
Hardware impairments
ISAC
Författare
Baptiste Chatelier
Mitsubishi Electric R&D Centre Europe
Institut d'Electronique et de Telecommunications de Rennes
INSA Rennes
José Miguel Mateos Ramos
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Vincent Corlay
Mitsubishi Electric R&D Centre Europe
Christian Häger
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Matthieu Crussière
Institut d'Electronique et de Telecommunications de Rennes
INSA Rennes
Henk Wymeersch
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Luc Le Magoarou
INSA Rennes
Institut d'Electronique et de Telecommunications de Rennes
Hårdvarumedveten integrerad lokalisering och avkänning för kommunikationssystem
Vetenskapsrådet (VR) (2022-03007), 2023-01-01 -- 2026-12-31.
Styrkeområden
Informations- och kommunikationsteknik
Ämneskategorier (SSIF 2011)
Telekommunikation
Kommunikationssystem
Signalbehandling
DOI
10.48550/arXiv.2411.15144