A Novel Angular Estimation Method in the Presence of Nonuniform Noise

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Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
Date
2022
Major/Subject
Mcode
Degree programme
Language
en
Pages
5
5023-5027
Series
2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings, IEEE International Conference on Acoustics, Speech and Signal Processing, Volume 2022-May
Abstract
A novel algorithm for direction-of-arrival (DOA) estimation in nonuniform sensor noise is developed. The diagonal nonuniform sensor noise covariance matrix is estimated by an iterative procedure, which only requires a few iterations. Using the generalized eigendecomposition of two matrices and the least squares, the noise subspace is refined and the noise covariance matrix is estimated iteratively. Since there is no need for knowledge of true DOAs when estimating the noise covariance matrix, our method is superior to most existing approaches. For the proposed noise covariance estimator, we also derive the asymptotic variance of one iteration. Numerical simulations are carried out to demonstrate the advantages of the proposed algorithm over existing state-of-the-art methods.
Description
Funding Information: This work was supported in part by Academy of Finland under Research Grant 319822. Publisher Copyright: © 2022 IEEE
Keywords
DOA estimation, nonuniform noise, subspace methods
Other note
Citation
Esfandiari, M & Vorobyov, S A 2022, A Novel Angular Estimation Method in the Presence of Nonuniform Noise . in 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings . IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 2022-May, IEEE, pp. 5023-5027, IEEE International Conference on Acoustics, Speech, and Signal Processing, Singapore, Singapore, 23/05/2022 . https://doi.org/10.1109/ICASSP43922.2022.9747777