A Novel Angular Estimation Method in the Presence of Nonuniform Noise

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

Abstrakti

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.

AlkuperäiskieliEnglanti
Otsikko2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings
KustantajaIEEE
Sivut7662-7666
Sivumäärä5
ISBN (elektroninen)9781665405409
DOI - pysyväislinkit
TilaJulkaistu - 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaIEEE International Conference on Acoustics, Speech, and Signal Processing - Singapore, Singapore
Kesto: 23 toukok. 202227 toukok. 2022

Julkaisusarja

NimiIEEE International Conference on Acoustics, Speech and Signal Processing
Vuosikerta2022-May
ISSN (painettu)1520-6149

Conference

ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing
LyhennettäICASSP
Maa/AlueSingapore
KaupunkiSingapore
Ajanjakso23/05/202227/05/2022

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