Adaptive Blind Sparse-Channel Equalization
Information Theory
2017-08-09 v1 math.IT
Abstract
In this article, a fractional-norm constrained blind adaptive algorithm is presented for sparse channel equalization. In essence, the algorithm improves on the minimization of the constant modulus (CM) criteria by adding a sparsity inducing -norm penalty. Simulation results demonstrate that the proposed regularized equalizer exploits the inherent channel sparsity effectively and exhibits faster convergence compared to its counterparts.
Cite
@article{arxiv.1708.01824,
title = {Adaptive Blind Sparse-Channel Equalization},
author = {Shafayat Abrar},
journal= {arXiv preprint arXiv:1708.01824},
year = {2017}
}
Comments
First appeared in: S. Abrar, "Blind Equalization and Carrier Recovery: Adaptive Solutions and Analysis", LAP LAMBERT Academic Publishing (March 11, 2016), ISBN-10: 3659834769