Independent Component Analysis of Complex Valued Signals Based on First-order Statistics
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Date
2013-12
Authors
Xu, Peng-cheng
Shen, Yue-hong
Li, Hui
Wang, Jiang-gong
Wu, Kun
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
Citation
Radioengineering. 2013, vol. 22, č. 4, s. 1194-1201. issn 1210-2512
http://www.radioeng.cz/fulltexts/2013/13_04_1194_1201.pdf
http://www.radioeng.cz/fulltexts/2013/13_04_1194_1201.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en