Application of Sparse Representation to Bartlett Spectra for Improved Direction of Arrival Estimation

Autor:	Jacob Compaleo, Inder J. Gupta
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	direction of arrival (DOA) estimation sparse representation Bartlett spectra Chemical technology TP1-1185
Zdroj:	Sensors, Vol 21, Iss 1, p 77 (2020)
Druh dokumentu:	article
ISSN:	1424-8220
DOI:	10.3390/s21010077
Popis:	A new technique for high-resolution direction of arrival estimation is presented. The method utilizes the traditional Bartlett spectra and sparse representation to locate emitters in single and multiple emitter scenarios. A method for selecting the sparse representation regularization parameter is also presented. Using Monte Carlo simulations, we show that the proposed approach achieves accurate direction of arrival (DOA) estimations that are unbiased and a variance that approaches the Cramer–Rao lower bound. We show that our method outperforms the popular MUSIC algorithm, and is slightly better than the sparse representation based L1-SVD algorithm when angular separation between emitters is small, signal SNR is low, and a small number of snapshots are used in DOA estimation.
Databáze:	Directory of Open Access Journals
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