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Wireless Networks

, Volume 20, Issue 6, pp 1387–1398 | Cite as

Fractionally spaced equalizer based on dynamically varying modulus algorithm for spectrally efficient channel compensation in SC-FDMA based systems

  • K. Vinoth BabuEmail author
  • G. Ramachandra Reddy
  • J. Arun Prakash
Article

Abstract

Orthogonal frequency division multiplexing (OFDM) based wireless communication systems are expected to satisfy the thirst for ever increasing demand on higher spectral efficiency. But, OFDM systems suffer from peak to average power ratio (PAPR) and inter carrier interference (ICI) problems. It is observed that when OFDM is used in the uplink, PAPR problem is more severe and the relative mobility of the user equipments with respect to the base station will cause Doppler spread which leads to ICI. One of the solutions to minimize PAPR and ICI is single carrier frequency division multiple access. But there is a tradeoff in spectral efficiency. The main objective of this paper is to evaluate the performance of fractionally spaced equalizer (FSE) for blind channel estimation based on higher order statistics and to identify any better alternative to improve its performance. Dynamically varying modulus algorithm (DVMA) based FSE is proposed in this paper which is a better alternative for supervised equalization. The simulation results prove that FSE blind equalizer based on DVMA outperform the conventional supervised and blind equalizers.

Keywords

Constant modulus algorithm (CMA) Modified constant modulus algorithm (MCMA) DVMA FSE Symbol rate equalizer (SRE) 

Abbreviations

GSM TDMA

Global system for mobile communication time division multiple access

WCDMA

Wideband code division multiple access

LTE

Long term evolution

LTE-A

Long term evolution-advanced

Wi-MAX

Worldwide interoperability for microwave access

ISI

Inter symbol interference

DL

Downlink

CP

Cyclic prefix

AMC

Adaptive modulation and coding

MIMO

Multi input and multi output

QAM

Quadrature amplitude modulation

LS

Least square

MMSE

Minimum mean square error

RLS

Recursive least square

LMS

Least mean square

NLMS

Normalized least mean square

SER

Symbol error rate

CFO

Carrier frequency offset

AWGN

Additive white gaussian noise

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • K. Vinoth Babu
    • 1
    Email author
  • G. Ramachandra Reddy
    • 1
  • J. Arun Prakash
    • 1
  1. 1.School of Electronics EngineeringVIT UniversityVelloreIndia

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