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Trilinear Decomposition-Based Two-Dimensional DOA Estimation Algorithm for Arbitrarily Spaced Acoustic Vector-Sensor Array Subjected to Unknown Locations

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Abstract

This paper links the acoustic vector-sensor array parameter estimation problem to the trilinear model. We derive a blind two dimensional direction of arrival (DOA) estimation algorithm for arbitrarily spaced acoustic vector-sensor array at unknown location when exploiting the approach of trilinear decomposition. We present a novel method which illustrates better DOA estimation performance compared to ESPRIT algorithm. Furthermore, our algorithm requires no spectral peak searching or pair matching. Numerical results demonstrate the validity of our algorithm.

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Authors and Affiliations

  1. Department of Electronic Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, 210016, China

    Xiaofei Zhang, Jianfeng Li, Han Chen & Dazhuan Xu

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  1. Xiaofei Zhang
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  2. Jianfeng Li
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  3. Han Chen
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  4. Dazhuan Xu
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Correspondence to Xiaofei Zhang.

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Zhang, X., Li, J., Chen, H. et al. Trilinear Decomposition-Based Two-Dimensional DOA Estimation Algorithm for Arbitrarily Spaced Acoustic Vector-Sensor Array Subjected to Unknown Locations. Wireless Pers Commun 67, 859–877 (2012). https://doi.org/10.1007/s11277-011-0415-3

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  • DOI: https://doi.org/10.1007/s11277-011-0415-3

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