Adaptive SNR turbo decoding algorithm and stop criterion

Author

Hou, Jia ; Lee, Moon Ho ; Park, Ju Yong

Author_Institution

Inst. of Inf. & Commun., Chonbuk Nat. Univ., Chonju, South Korea

fYear

2003

fDate

27-29 Aug. 2003

Firstpage

893

Lastpage

895

Abstract

The sensitivity of the iterative maximum a posteriori probability (MAP) decoder to the initial channel values is investigated and a simple adaptive signal-to-noise (SNR) algorithm operating within the delta variances from two MAP decoders is proposed. The exact SNR values estimated from the turbo decoders are considered. It can bring the initialization of channel values towards optimization. Therefore, we may improve the BER by about 0.3 dB with a simple additional lookup table from the conventional BCJR decoder. Furthermore, since the closest SNR values are estimated, the proposed algorithm can be exploited to efficient make stop criterion for reducing the delay and computation time.

Keywords

adaptive decoding; channel estimation; delays; error statistics; iterative decoding; maximum likelihood decoding; optimisation; table lookup; turbo codes; BCJR decoder; adaptive SNR turbo decoding algorithm; adaptive signal-to-noise ration algorithm; bit error rate; computation time complexity; delays; iterative maximum a posteriori probability decoder; lookup table; optimization; telecommunication channel estimation; turbo codes; turbo decoders; Bit error rate; Equations; Error analysis; Iterative decoding; Signal to noise ratio; Turbo codes;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Computing, Applications and Technologies, 2003. PDCAT'2003. Proceedings of the Fourth International Conference on

Print_ISBN

0-7803-7840-7

Type

conf

DOI

10.1109/PDCAT.2003.1236443

Filename

1236443