Title :
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
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;
Conference_Titel :
Telecommunications in Modern Satellite, Cable and Broadcasting Service, 2003. TELSIKS 2003. 6th International Conference on
Print_ISBN :
0-7803-7963-2
DOI :
10.1109/TELSKS.2003.1246262
