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Complex-valued ICA utilizing signal-subspace demixing for robust DOA estimation and blind signal separation

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Abstract

This paper deals with direction of arrival (DOA) estimation and blind signal separation (BSS) based on independent component analysis (ICA) with robust capabilities. An efficient demixing procedure of complex-valued ICA is presented here, which combines the signal-subspace demixing procedure exploiting individual signal-subspace projection and Newton’s iteration algorithm based on maximization of the approximate negentropy of non-Gaussian signal for array signal processing. It resolves the problems of order ambiguity and identifiability of traditional ICA for time-domain BSS. The proposed method could be directly applied to radar, sonar, radio surveillance, and communications systems for separating signals and estimating relative DOAs of signals. Several computer simulation examples for perturbations to the array manifold, unknown noise environments, and Rayleigh fading channel are provided to illustrate the effectiveness of the proposed method.

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Authors and Affiliations

  1. Department of Information Technology, Ling Tung University, Taichung, 408, Taiwan, ROC

    Ann-Chen Chang

  2. Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan, 335, Taiwan, ROC

    Chih-Wei Jen

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  1. Ann-Chen Chang
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  2. Chih-Wei Jen
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Correspondence to Ann-Chen Chang.

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Chang, AC., Jen, CW. Complex-valued ICA utilizing signal-subspace demixing for robust DOA estimation and blind signal separation. Wireless Pers Commun 43, 1435–1450 (2007). https://doi.org/10.1007/s11277-007-9317-9

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  • DOI: https://doi.org/10.1007/s11277-007-9317-9

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