The performance of a low complexity decision aided turbo equalization using NSC and RSC codes

Author

Trajkovic, Vladimir D. ; Rapajic, Predrag B.

Author_Institution

Sch. of Electr. Eng. & Telecommun., New South Wales Univ., Sydney, NSW, Australia

Volume

2

fYear

2003

fDate

1-3 Oct. 2003

Firstpage

433

Abstract

In this paper a low complexity adaptive Turbo equalization scheme using classical nonsystematic and recently proposed recursive systematic convolutional codes (NSC and RSC) has been analyzed. Although it was shown that at low signal to noise ratio (SNR), RSC outperforms the best NSC codes, in terms of bit error rate (BER), it is not the case when both codes are used in the proposed adaptive Turbo scheme. The results have been confirmed by simulations when the communication is performed over different communication channels and different code constraint lengths.

Keywords

convolutional codes; error statistics; telecommunication channels; turbo codes; bit error rate; code constraint length; communication channel; complexity adaptive turbo equalization; nonsystematic convolutional code; recursive systematic convolutional code; signal to noise ratio; AWGN; Adaptive equalizers; Bit error rate; Communication channels; Convolution; Convolutional codes; Decision feedback equalizers; Finite impulse response filter; Maximum likelihood estimation; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications in Modern Satellite, Cable and Broadcasting Service, 2003. TELSIKS 2003. 6th International Conference on

Print_ISBN

0-7803-7963-2

Type

conf

DOI

10.1109/TELSKS.2003.1246262

Filename

1246262