Paper Info
Title
A New Semi-Blind Method For Spatial Equalization In Mimo Systems
Abstract
In this letter, a new semi-blind approach incorporating the bounded nature of communication sources with the distance between the equalizer outputs and the training sequence is proposed. By utilizing the sparsity property of l(1)-norm cost function, the proposed algorithm can outperform the semi-blind method based on higher-order statistics (HOS) criterion especially for transmitting sources with non-constant modulus. Experimental results demonstrate that the proposed method shows superior performance over the HOS based semi-blind method and the classical training-based method for QPSK and 16QAM sources equalization. While for 64QAM signal inputs, the proposed algorithm exhibits its superiority in low signal-to-noise-ratio (SNR) conditions compared with the training-based method.
Year
DOI
Venue
2018
10.1587/transfun.E101.A.1693
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
Keywords
Field
DocType
l(1)-norm cost function, multi-input-multi-output (MIMO) systems, semi-blind, spatial equalization
Mimo systems,Equalization (audio),Theoretical computer science,Electronic engineering,Mathematics
Journal
Volume
Issue
ISSN
E101A
10
1745-1337
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Yang Liu15922.39
hang zhang23116.05
Yang Cai366.51
Qiao Su401.01