A code-aided adaptive equalizer using soft decision-directed algorithm and convolutional coding for fading channels

Author

Lee, Y.E. ; Wang, M.Z.

Author_Institution

Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China

Volume

3

fYear

2001

fDate

2001

Firstpage

1664

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

Keywords

Doppler effect; Viterbi decoding; adaptive equalisers; convolutional codes; error statistics; fading channels; least mean squares methods; mobile radio; multipath channels; BER performance; Doppler rates; bit error rate performance; code-aided adaptive equalizer; convolutional code; convolutional coding; decoding; fading channels; least mean square algorithm; mobile channels; multipath environment; soft decision-directed algorithm; soft-output Viterbi algorithm; tap coefficients; Adaptive equalizers; Bit error rate; Convolution; Convolutional codes; Decision feedback equalizers; Delay; Fading; Intersymbol interference; Least mean square algorithms; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2001. VTC 2001 Spring. IEEE VTS 53rd

Conference_Location

Rhodes

ISSN

1090-3038

Print_ISBN

0-7803-6728-6

Type

conf

DOI

10.1109/VETECS.2001.944977

Filename

944977