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Array shape self-calibration using particle swarm optimization and decaying diagonal loading

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3 Author(s)
Shuang Wan ; Institute for Digital Communications, School of Engineering, The University of Edinburgh, EH9 3JL, UK ; Pei-Jung Chung ; Bernard Mulgrew

Calibration of array shape error is a key issue for most existing direction finding algorithms. In this paper, we propose a new procedure that employs particle swarm optimization (PSO) and decaying diagonal loading (DDL) techniques to optimize the unconditional maximum likelihood (UML) function for array self-calibration. The proposed method is able to self- calibrate large array shape error. Moreover, it outperforms previous ones in terms of mean squared error that attains Cramer-Rao bound. An example of 5-sensor and 3-source geometry is used to demonstrate the efficacy of the proposed method.

Published in:

Sensor Signal Processing for Defence (SSPD 2010)

Date of Conference:

29-30 Sept. 2010