University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Blind adaptive channel shortening by single lag autocorrelation minimisation

Nawaz, R and Chambers, JA (2004) Blind adaptive channel shortening by single lag autocorrelation minimisation Electronics Letters, 40 (25). pp. 1609-1611.

Full text not available from this repository.

Abstract

A blind adaptive channel shortening algorithm based on minimising the sum of the squared autocorrelations (SAM) of the effective channel was recently proposed. We submit that essentially identical channel shortening can be achieved by minimising the square of only a single autocorrelation. Our proposed single lag autocorrelation minimisation (SLAM) algorithm has very low complexity. We also constrain the autocorrelation minimisation with a novel stopping criterion so that the shortening signal-to-noise ratio (SSNR) of the effective channel is not minimised by the autocorrelation minimisation. The simulations show that SLAM achieves higher bit rates than SAM.

Item Type: Article
Authors :
NameEmailORCID
Nawaz, RUNSPECIFIEDUNSPECIFIED
Chambers, JAj.a.chambers@surrey.ac.ukUNSPECIFIED
Date : 9 December 2004
Identification Number : 10.1049/el:20047210
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:27
Last Modified : 17 May 2017 13:27
URI: http://epubs.surrey.ac.uk/id/eprint/839250

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800