Title :
EM-Based Recursive Tracking Algorithm for Near-Field Moving Sources
Author :
Çekli, Serap ; Çekli, Erdinç ; Kabaoglu, Nihat ; Cirpan, Hakan A.
Author_Institution :
Istanbul Univ., Istanbul
Abstract :
In this paper, we address the problem of joint tracking of the direction of arrival (DOA) and range parameters of moving sources in the near-field of an antenna array with the expectation-maximization (EM) based recursive algorithm. The main characteristic of the proposed recursive EM approach is to include computation of the gradient of the log-likelihood and some form of the complete-data fisher information matrix. The proposed recursive algorithm in this work assumes that the parameters of interest are described by a linear polynomial model. Simulation results of the suggested algorithm are also presented in order to illustrate the performance of the algorithms.
Keywords :
antenna arrays; direction-of-arrival estimation; expectation-maximisation algorithm; polynomials; antenna array; complete-data Fisher information matrix; direction of arrival; expectation-maximization based recursive tracking algorithm; linear polynomial; near-field moving sources; Antenna arrays; Approximation algorithms; Computational modeling; Direction of arrival estimation; Directive antennas; Intelligent vehicles; Iterative algorithms; Maximum likelihood estimation; Polynomials; Sensor arrays;
Conference_Titel :
Intelligent Vehicles Symposium, 2007 IEEE
Conference_Location :
Istanbul
Print_ISBN :
1-4244-1067-3
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2007.4290144