Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/49282
Title: | Linearly constrained blind equalization scheme based on Bussgang type algorithms | Authors: | Zazo, Santiago Paez-Borrallo, J. M. Perez Alvarez, Ivan A. |
UNESCO Clasification: | 3325 Tecnología de las telecomunicaciones | Keywords: | Blind equalizers Convergence Telecommunications Finite impulse response filter Cost function, et al |
Issue Date: | 1995 | Journal: | Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing | Abstract: | Existing blind adaptive equalizers that use nonconvex cost functions (as Bussgang type algorithms) and stochastic gradient descent suffer from lack of global convergence to an equalizer tap set that removes sufficient ISI when an FIR equalizer is used. In this paper we propose a new algorithm including tap anchoring and gain recovery into the classical schemes. The combined effect of these strategies is to establish the preservation of the transmitted symbol preventing ill convergence, and therefore providing the ability of implementation of the inverse filter regardless of the initial ISI. Under certain hypotheses, we suggest that a globally convex scheme can be proposed overcoming the existing structures. Several computer simulations support our theoretical results. | URI: | http://hdl.handle.net/10553/49282 | ISSN: | 0736-7791 | Source: | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings[ISSN 0736-7791],v. 2, p. 1037-1040 |
Appears in Collections: | Actas de congresos |
SCOPUSTM
Citations
1
checked on Mar 30, 2025
Page view(s)
78
checked on Feb 1, 2025
Download(s)
28
checked on Feb 1, 2025
Google ScholarTM
Check
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.