article · 2007
Blind Equalization via Blind Source Separation Techniques
Xiangyang Zhuang, A. Lee Swindlehurst
Cited by 0Abstract and details only
Abstract
This paper addresses the application of blind source separation (BSS) algorithms to the problem of blind equalization (BE) in a frequency selective multi-user environment. Compared with other algorithms that exploit the structural properties of the channel or data matrix, our approaches are insensitive to channel order estimation, robust to ill-conditioned channels and able to choose the "best" equalizer delay(s). Many batch and adaptive BSS algorithms are briefly discussed for the application to BE, but we mainly focus on the application of two particular well-known batch approaches, i.e., JADE (Joint Approximate Diagonalization of Eigenmatrices) and ACM (Analytical Constant Modulus). Their respective underlying principles, assumptions, methodologies, computational complexity and performance are analyzed respectively. The relation between output noise power and the delay at which the equalizer recovers the signal is studied, from which an MMSE criterion is introduced to the JADE algor...
Cite this paper
Zhuang, X., & Swindlehurst, A. L. (2007). Blind Equalization via Blind Source Separation Techniques.
Zhuang, Xiangyang, and A. Lee Swindlehurst. “Blind Equalization via Blind Source Separation Techniques.” 2007.
Zhuang, Xiangyang, and A. Lee Swindlehurst. 2007. “Blind Equalization via Blind Source Separation Techniques.”
Zhuang, X. and Swindlehurst, A.L. (2007) ‘Blind Equalization via Blind Source Separation Techniques’.
@article{zhuang2007blind,
title = {{Blind Equalization via Blind Source Separation Techniques}},
author = {Zhuang, Xiangyang and Swindlehurst, A. Lee},
year = {2007}
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