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The performance of a low complexity decision aided turbo equalization using NSC and RSC codes | IEEE Conference Publication | IEEE Xplore

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


Abstract:

In this paper a low complexity adaptive Turbo equalization scheme using classical nonsystematic and recently proposed recursive systematic convolutional codes (NSC and RS...Show More

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.
Date of Conference: 01-03 October 2003
Date Added to IEEE Xplore: 28 June 2004
Print ISBN:0-7803-7963-2
Conference Location: Nis, Yugoslavia

References

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