Array Shape Calibration for Non-planar Array Using Disjoint Sources
Authors: 
Zheng Dai, Weimin Su, Hong GuAuthors Info & Claims
Pages 119 - 122
Abstract
Most high resolution direction-of-arrival (DOA) estimation algorithms have good performance on the premise that the array manifold is accurately known. However, the performance degrades severely in presence of sensor positions uncertainties. In this contribution, we propose an algorithm to estimate sensor locations usingauxiliary sources. The auxiliary sources are disjoint sources, which appear independently of both space and time. First, we remove the contribution of noise from the data covariance matrix. Second, the sensor locations are estimated by solving the simultaneous equations. Third, we provide two methods, which are beneficial to engineering realization. The proposed algorithm is applicable to non-planar array. Computer simulations are presented to show the performance of the proposed algorithm.
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Published In
November 2016
235 pages
ISBN:9781450347907
DOI:10.1145/3015166
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Published: 21 November 2016
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ICSPS 2016
ICSPS 2016: 8th International Conference on Signal Processing Systems
November 21 - 24, 2016
Auckland, New Zealand
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ICSPS 2016 Paper Acceptance Rate 46 of 83 submissions, 55%;
Overall Acceptance Rate 46 of 83 submissions, 55%
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