Model recognition for estimation of direction of arrival using extended Kalman filter

Authors:
K. Radhakrishnan;A. Unnikrishnan;K. G. Balakrishnan
Affiliations:
Cochin University of Science and Technology, Kochi, India;Naval Physical and Oceanographic Laboratories, Kochi, India;Cochin University of Science and Technology, Kochi, India
Venue:
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Year:
2006

Citing 6
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Abstract

The purpose of this paper is to investigate the estimation of Direction of Arrival (DOA) of signal source impinging on a Uniform Linear Array (ULA). A method for estimating the delay of the signal received at two separated sensors in a system identification approach has been developed. The inaccurately known parameter (the time delay) forms a part of the state vector of EKF, which is used to recursively estimate the DOA. Simulation results demonstrate the feasibility of this method to estimate DOA both for narrow band and broadband signals, to a reasonable degree of convergence.