Title :
Iterative algorithm for the estimation of distributed sources localization parameters
Author :
Iserte, Antonio Pascual ; Pérez-Neira, Ana I. ; Hernández, Miguel Ángel Lagunas
Author_Institution :
Dept. of Signal Theor. & Commun., Polytech. Univ. of Catalonia (UPC), Barcelona, Spain
fDate :
6/23/1905 12:00:00 AM
Abstract :
We present a novel algorithm for the estimation of the direction of arrival and angular distribution parameters of sources that, as a result from the scattering effects, cannot be considered as punctual. The algorithm is iterative and is based on the maximization of the likelihood function associated to the received snapshots at the antenna array (ML). It is proposed a computationally efficient method for estimating the localization and angular distribution parameters of more than one source transmitting at the same frequency in a noisy environment. This algorithm solves the problem of the joint maximization in the case of two sources by formulating two new problems of a single-source ML
Keywords :
array signal processing; direction-of-arrival estimation; electromagnetic wave scattering; iterative methods; maximum likelihood estimation; noise; DOA algorithm; DOA estimation; angular distribution parameters; antenna array; array signal processing; computationally efficient method; direction of arrival algorithm; distributed sources localization parameters estimation; iterative algorithm; joint maximization; likelihood function maximization; localization parameters; maximum likelihood estimator; noisy environment; scattering effects; Antenna arrays; Array signal processing; Covariance matrix; Direction of arrival estimation; Frequency diversity; Iterative algorithms; Radar detection; Radar scattering; Signal processing algorithms; Spectral analysis;
Conference_Titel :
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN :
0-7803-7011-2
DOI :
10.1109/SSP.2001.955339
