Independent Component Analysis of Complex Valued Signals Based on First-order Statistics

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Date
2013-12
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Mark
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Společnost pro radioelektronické inženýrství
Abstract
This paper proposes a novel method based on first-order statistics, aims to solve the problem of the independent component extraction of complex valued signals in instantaneous linear mixtures. Single-step and iterative algorithms are proposed and discussed under the engineering practice. Theoretical performance analysis about asymptotic interference-to-signal ratio (ISR) and probability of correct support estimation (PCE) are accomplished. Simulation examples validate the theoretic analysis, and demonstrate that the single-step algorithm is extremely effective. Moreover, the iterative algorithm is more efficient than complex FastICA under certain circumstances.
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Radioengineering. 2013, vol. 22, č. 4, s. 1194-1201. issn 1210-2512
http://www.radioeng.cz/fulltexts/2013/13_04_1194_1201.pdf
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Peer-reviewed
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en
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Creative Commons Attribution 3.0 Unported License
http://creativecommons.org/licenses/by/3.0/
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