DOA estimation and array registration with joint sparse reconstruction methods

Author

Wiese, Thomas ; Weiland, Lorenz ; Utschick, Wolfgang

Author_Institution

Fachgebiet Methoden der Signalverarbeitung, Tech. Univ. Munchen, Munich, Germany

fYear

2015

fDate

June 28 2015-July 1 2015

Firstpage

500

Lastpage

504

Abstract

Two uniform linear arrays with inexactly known relative positions shall be used for coherent direction of arrival estimation. We show that in the narrowband case the estimation of the displacement parameter is well posed if the number of sources is known. Furthermore, we propose a fast registration method that estimates the unknown displacement parameter using a combination of sparse reconstruction algorithms for distributed compressed sensing and Newton´s method.

Keywords

Newton method; array signal processing; compressed sensing; direction-of-arrival estimation; signal reconstruction; DOA estimation; Newton method; array registration; direction of arrival estimation; displacement parameter estimation; distributed compressed sensing; fast registration method; joint sparse reconstruction methods; sparse reconstruction algorithms; uniform linear arrays; Arrays; Compressed sensing; Direction-of-arrival estimation; Maximum likelihood estimation; Signal processing algorithms; Signal to noise ratio; Direction-of-arrival (DOA) estimation; array calibration; distributed compressed sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on

Conference_Location

Stockholm

Type

conf

DOI

10.1109/SPAWC.2015.7227088

Filename

7227088