APP based iterations stopping criteria for MNBTC

Author

Balta, Horia ; Stolojescu-Crisan, Cristina ; Gal, Janos

Author_Institution

Electron. & Telecommun. Fac., Univ. Politeh. Timisoara, Timişoara, Romania

fYear

2014

fDate

2-5 Sept. 2014

Firstpage

125

Lastpage

128

Abstract

A study of the iterations stopping criteria adapted to multi-non-binary turbo-decoders, based on the evolution of a posteriori probability density (APP) is presented. The performaces bit / frame error rate (B/FER) versus signal to noise ratio (SNR) of multi-non-binary turbo codes (MNBTC) equipped with the iterations stopping mechanism proposed in this study are compared with those obtained using the genie iterations stopping criterion. Details about the redundancy in the number of processed iterations as compared to the ideal criterion are also presented.

Keywords

iterative methods; statistical analysis; turbo codes; APP based iterations stopping criteria; B-FER; SNR; a posteriori probability density; genie iterations stopping criterion; multinonbinary turbo codes; performaces bit-frame error rate; signal-to-noise ratio; Convolutional codes; Decoding; Histograms; Iterative decoding; Redundancy; Signal to noise ratio; Turbo codes; a posteriori probability; communication systems; correcting codes; iterative decoding; turbo-codes;

fLanguage

English

Publisher

ieee

Conference_Titel

Methods and Models in Automation and Robotics (MMAR), 2014 19th International Conference On

Conference_Location

Miedzyzdroje

Print_ISBN

978-1-4799-5082-9

Type

conf

DOI

10.1109/MMAR.2014.6957336

Filename

6957336