Semi-blind equalization of nonlinear communication channels using transmitter precoding

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

By taking advantage of the additional information provided by a transmitter precoder, semi-blind approaches are proposed for identification and equalization of the so-called LTI-ZMNL-LTI nonlinear channels, which consist of two Linear Time Invariant (LTI) filters separated by a polynomial type Zero Memory NonLinearity (ZMNL). Identification of the linear subsystems relies on the output second order cyclostationary / stationary statistics, induced in the transmit data by non-redundant periodically time-varying and/or redundant block precoders. It is shown that identification of linear subsystems is robust to channel order over-estimation errors, location of channel zeros, and color of additive noise. Assuming that the ZMNL is a one-to-one map, transmitter precoding allows also exact Zero-Forcing (ZF) linear equalization of LTI-ZMNL-LTI channels, without restrictions on the zeros of the linear subsystems and channel order overestimation errors.

Original languageEnglish
Pages (from-to)1129-1133
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
Publication statusPublished - 1998
Externally publishedYes

Fingerprint

Communication channels (information theory)
Blind equalization
Transmitters
Data storage equipment
Additive noise
Error analysis
Statistics
Polynomials
Color

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

@article{4e3356c88ebd46fdba8c69c2efc2af1f,
title = "Semi-blind equalization of nonlinear communication channels using transmitter precoding",
abstract = "By taking advantage of the additional information provided by a transmitter precoder, semi-blind approaches are proposed for identification and equalization of the so-called LTI-ZMNL-LTI nonlinear channels, which consist of two Linear Time Invariant (LTI) filters separated by a polynomial type Zero Memory NonLinearity (ZMNL). Identification of the linear subsystems relies on the output second order cyclostationary / stationary statistics, induced in the transmit data by non-redundant periodically time-varying and/or redundant block precoders. It is shown that identification of linear subsystems is robust to channel order over-estimation errors, location of channel zeros, and color of additive noise. Assuming that the ZMNL is a one-to-one map, transmitter precoding allows also exact Zero-Forcing (ZF) linear equalization of LTI-ZMNL-LTI channels, without restrictions on the zeros of the linear subsystems and channel order overestimation errors.",
author = "Erchin Serpedin",
year = "1998",
language = "English",
volume = "2",
pages = "1129--1133",
journal = "Conference Record of the Asilomar Conference on Signals, Systems and Computers",
issn = "1058-6393",
publisher = "IEEE Computer Society",

}

TY - JOUR

T1 - Semi-blind equalization of nonlinear communication channels using transmitter precoding

AU - Serpedin, Erchin

PY - 1998

Y1 - 1998

N2 - By taking advantage of the additional information provided by a transmitter precoder, semi-blind approaches are proposed for identification and equalization of the so-called LTI-ZMNL-LTI nonlinear channels, which consist of two Linear Time Invariant (LTI) filters separated by a polynomial type Zero Memory NonLinearity (ZMNL). Identification of the linear subsystems relies on the output second order cyclostationary / stationary statistics, induced in the transmit data by non-redundant periodically time-varying and/or redundant block precoders. It is shown that identification of linear subsystems is robust to channel order over-estimation errors, location of channel zeros, and color of additive noise. Assuming that the ZMNL is a one-to-one map, transmitter precoding allows also exact Zero-Forcing (ZF) linear equalization of LTI-ZMNL-LTI channels, without restrictions on the zeros of the linear subsystems and channel order overestimation errors.

AB - By taking advantage of the additional information provided by a transmitter precoder, semi-blind approaches are proposed for identification and equalization of the so-called LTI-ZMNL-LTI nonlinear channels, which consist of two Linear Time Invariant (LTI) filters separated by a polynomial type Zero Memory NonLinearity (ZMNL). Identification of the linear subsystems relies on the output second order cyclostationary / stationary statistics, induced in the transmit data by non-redundant periodically time-varying and/or redundant block precoders. It is shown that identification of linear subsystems is robust to channel order over-estimation errors, location of channel zeros, and color of additive noise. Assuming that the ZMNL is a one-to-one map, transmitter precoding allows also exact Zero-Forcing (ZF) linear equalization of LTI-ZMNL-LTI channels, without restrictions on the zeros of the linear subsystems and channel order overestimation errors.

UR - http://www.scopus.com/inward/record.url?scp=0032285018&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032285018&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0032285018

VL - 2

SP - 1129

EP - 1133

JO - Conference Record of the Asilomar Conference on Signals, Systems and Computers

JF - Conference Record of the Asilomar Conference on Signals, Systems and Computers

SN - 1058-6393

ER -