Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9691
Title: A code-aided adaptive equalizer using soft decision-directed algorithm and convolutional coding for fading channels
Authors: Lee, YF
Wang, MZ
Keywords: Doppler effect
Viterbi decoding
Adaptive equalisers
Convolutional codes
Error statistics
Fading channels
Least mean squares methods
Mobile radio
Multipath channels
Issue Date: 2001
Publisher: IEEE
Source: Conference Record of the Vehicular Technology Conference, 2001 : VTC 2001 Spring : IEEE VTS 53rd, May 2001, Rhodes, v. 3, p. 1664-1667 How to cite?
Abstract: We propose to use a soft decision-directed least mean square algorithm in a code-aided equalizer for fading channels. The soft-output Viterbi algorithm is used in decoding the convolutional code used. The soft output is then fed to the equalizer to adjust the tap coefficients (gains) of the equalizer. Simulation and analysis results are presented for bit error rate performance in a multipath environment for various Doppler rates (normalized Doppler rates equal to 0.001, 0.002 and 0.005, respectively). The proposed equalizer provides significant performance improvement in terms of bit error rate compared to other conventional equalization schemes
URI: http://hdl.handle.net/10397/9691
ISBN: 0-7803-6728-6
ISSN: 1090-3038
DOI: 10.1109/VETECS.2001.944977
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

29
Last Week
3
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.