Adaptive DOA estimation using a database of PARCOR coefficients

Authors:
Eiji Mochida;Youji Iiguni
Affiliations:
Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, Machikaneyama Toyonaka, Osaka, Japan;Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, Machikaneyama Toyonaka, Osaka, Japan
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2006

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Abstract

An adaptive direction-of-arrival (DOA) tracking method based upon a linear predictive model is developed. This method estimates the DOA by using a database that stores PARCOR coefficients as key attributes and the corresponding DOAs as non-key attributes. The k-dimensional digital search tree is used as the data structure to allow efficient multidimensional searching. The nearest neighbour to the current PARCOR coefficient is retrieved from the database, and the corresponding DOA is regarded as the estimate. The processing speed is very fast since the DOA estimation is obtained by the multidimensional searching. Simulations are performed to show the effectiveness of the proposed method.