Title :
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
fDate :
June 28 2015-July 1 2015
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;
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on
Conference_Location :
Stockholm
DOI :
10.1109/SPAWC.2015.7227088