Li, Q. orcid.org/0000-0003-2503-690X, Huang, L. orcid.org/0000-0003-4534-7625, Liu, W. orcid.org/0000-0003-2968-2888 et al. (2 more authors) (2023) Cold-start satellite signal acquisition aided by an antenna array in the presence of outliers. IEEE Transactions on Vehicular Technology, 72 (5). pp. 5847-5861. ISSN 0018-9545
Abstract
In the cold-start mode, this work addresses the issue of signal acquisition for a satellite navigation receiver aided by an antenna array in the presence of outliers. First, the satellite signals acquisition is formulated as a problem of sparse matrix recovery in terms of ℓ2,1 -norms minimization which encourages row sparsity of signal matrix and effectively suppresses outliers simultaneously. Then, an iterative reweighted framework and the Lagrange multipliers method with complex-valued conjugate gradient descent are employed to find a suitable solution. After that, to accelerate the convergence rate of the mean square error (MSE), an improved ℓ2,1 -norms cost function with composite regularizers is devised, where several conjugate gradients of ℓ2,1 -norms are derived in detail and convex optimization theory is employed to find the global minimum. At last, actual satellite almanac is downloaded to provide the information of the visible satellites and then numerical results are presented to demonstrate the effectiveness of the proposed methods.
Metadata
Item Type: | Article |
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Authors/Creators: | |
Copyright, Publisher and Additional Information: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Satellite signal acquisition; sparse matrix recovery; iterative reweighted technique; composite regularizers; $\ell _{2,1}$ -norm; outliers |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Feb 2023 18:00 |
Last Modified: | 26 Sep 2024 13:46 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/tvt.2022.3230543 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:196056 |