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

Autor:	Compaleo J; ElectroScience Laboratory, The Ohio State University, Columbus, OH 43212, USA., Gupta IJ; ElectroScience Laboratory, The Ohio State University, Columbus, OH 43212, USA.
Jazyk:	angličtina
Zdroj:	Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Dec 25; Vol. 21 (1). Date of Electronic Publication: 2020 Dec 25.
DOI:	10.3390/s21010077
Abstrakt:	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:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.