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Proceedings Paper

Near-field source localization based on higher-order statistics
Author(s): Guohua Wei; Siliang Wu
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Paper Abstract

A 3-D near-field source localization algorithm based on higher-order statistics using a small antenna array is presented in this paper. To suppress Gaussian color noises of unknown autocorrelation matrix in received array data, a specific fourth-order cumulant matrix instead of autocorrelation matrix is formed and an ESPRIT-like shift-invariance technique is used to estimate the phase differences among the antennas and ranges from the sources to the antennas simultaneously. Then a closed-form source location estimate is given by the solution of a set of linear equations. The proposed algorithm imposes no geometric constraint on the antenna array. Simulation results are provided to demonstrate the effectiveness and feasibility of this method.

Paper Details

Date Published: 28 April 2004
PDF: 9 pages
Proc. SPIE 5284, Wireless Communications and Networks, (28 April 2004); doi: 10.1117/12.523219
Show Author Affiliations
Guohua Wei, Beijing Institute of Technology (China)
Siliang Wu, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 5284:
Wireless Communications and Networks
Chih-Lin I; Jiann-An Tsai; Hequan Wu, Editor(s)

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