Title :
DOA estimation error and resolution loss in linear sensor array
Author :
Siqian Liu ; Hongxiang Li ; Bei Gou
Author_Institution :
Electr. & Comput. Eng. Dept., North Dakota State Univ., Fargo, ND, USA
Abstract :
In order to estimate the direction of signal arrival (DOA) precisely, array of sensors is widely used to enhance resolution and accuracy of the results. For subspace-based algorithms, array sensors´ position error may severely influence the estimation result since it changes the array in manifold. In this paper, we provide an improved DOA estimation method for general linear sensor array so that the effect of position error is minimized. We analytically present the relationship between sensor position error and the array´s minimum resolution. Simulation results show that the new method does enhance the accuracy of the DOA estimation and the array resolution is determined by both the number of array sensors and the position error.
Keywords :
array signal processing; direction-of-arrival estimation; sensor arrays; DOA estimation error; DOA estimation method; array minimum resolution; array resolution; direction of signal arrival; linear sensor array; resolution loss; sensor position error; subspace-based algorithms; Arrays; Direction-of-arrival estimation; Estimation error; Manifolds; Multiple signal classification; Signal resolution; DOA; array manifold; position error; resolution;
Conference_Titel :
Information Sciences and Systems (CISS), 2013 47th Annual Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4673-5237-6
Electronic_ISBN :
978-1-4673-5238-3
DOI :
10.1109/CISS.2013.6552300
