Title :
The performance of music-based DOA in white noise with missing data
Author :
Suryaprakash, Raj Tejas ; Nadakuditi, Raj Rao
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
The Multiple Signal Classification (MUSIC) algorithm is popular choice for estimating the direction of arrival (DOA) of signals impinging on a sensor array. In this paper, we analyze the mean-squared error (MSE) performance of MUSIC algorithm in the white noise setting with partially observed, or missing, data. Using recent results from random matrix theory, we obtain an analytic expression for the MSE of the DOA estimate in the asymptotic regime and validate the theoretical predictions with simulations.
Keywords :
array signal processing; direction-of-arrival estimation; mean square error methods; signal classification; white noise; MUSIC based DOA; direction of arrival estimation; mean squared error performance; missing data; multiple signal classification algorithm; sensor array; white noise; Arrays; Direction of arrival estimation; Estimation; Multiple signal classification; Signal processing algorithms; Signal to noise ratio; Vectors; DOA estimation; MUSIC; missing data; random matrix theory;
Conference_Titel :
Statistical Signal Processing Workshop (SSP), 2012 IEEE
Conference_Location :
Ann Arbor, MI
Print_ISBN :
978-1-4673-0182-4
Electronic_ISBN :
pending
DOI :
10.1109/SSP.2012.6319826
