Adaptive blind equalization for MIMO systems under α-stable noise environment

Authors:
Li Sen;Qiu Tianshuang;Zha Daifeng
Affiliations:
Electronic and Information Engineering College, Dalian University of Technology and Information Science Technology College, Dalian Maritime University, China;Electronic and Information Engineering College, Dalian University of Technology, China;College of Electronic Engineering, JiuJiang University, China
Venue:
IEEE Communications Letters
Year:
2009

Citing 7
Cited 0

Signal processing with alpha-stable distributions and applications

Signal processing with alpha-stable distributions and applications
Blind Channel Equalization and Identification

Blind Channel Equalization and Identification
Constant modulus blind equalization based on fractional lower-order statistics

Signal Processing
Direction finding in non-Gaussian impulsive noise environments

Digital Signal Processing
Capture Properties of the Generalized CMA in Alpha-Stable Noise Environment

Wireless Personal Communications: An International Journal
Underwater sources location in non-Gaussian impulsive noise environments

Digital Signal Processing
Adaptive blind source separation and equalization for multiple-input/multiple-output systems

IEEE Transactions on Information Theory

Quantified Score

Hi-index	0.00

Visualization

Abstract

The presence of non-Gaussian impulsive noise in wireless system can degrade the performance of existing equalizers and signal detectors. In this paper, the problem of blind source separation and equalization for MIMO systems in heavy-tailed impulsive noise is studied. A generalized multi-user constant modulus cost function by employing the fractional lower-order statistic of the equalizer input signal is proposed. The associated adaptive blind equalization algorithm based on a stochastic gradient descent method is defined as fractional lower-order multi-user constant modulus algorithm (FLOS_MU_CMA). Computer simulations are presented to illustrate the performance of the new algorithm.