An ESPRIT based approach for super-resolution direction finding with partly calibrated or noncoherent sparse array

Author

Chen, Wensheng ; Xu, Xiaojian

Author_Institution

Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China

fYear

2011

fDate

24-29 July 2011

Firstpage

925

Lastpage

928

Abstract

Based on estimation of signal parameter via rotational in variance techniques (ESPRIT), a super-resolution direction of arrival (DOA) estimation approach is developed for partly calibrated or noncoherent sparse array. Numerical results demonstrate that compared with the conventional multiple signal classification (MUSIC) based approaches, the proposed approach performs better under lower signal-to-noise (SNR) and with fewer snapshots, yet with less computational complexity.

Keywords

array signal processing; calibration; direction-of-arrival estimation; signal classification; signal resolution; DOA estimation; ESPRIT; MUSIC; SNR; calibration; direction of arrival estimation; multiple signal classification; noncoherent sparse array; signal to noise ratio; super-resolution; Direction of arrival estimation; Estimation; Sensor arrays; Signal resolution; Signal to noise ratio; Direction of arrival estimation; ESPRIT; partly calibrated or noncoherent sparse array;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049283

Filename

6049283