scholarly journals Performance of Hybrid Binary and Non-Binary Turbo Decoding Schemes for LTE and DVB-RCS Standards

2019 ◽  
Vol 17 (1) ◽  
pp. 1-13
Author(s):  
Yogesh Beeharry ◽  
Tulsi P. Fowdur ◽  
Krishnaraj M. S. Soyjaudah
Keyword(s):  
Turbo Codes ◽  
Error Correcting Codes ◽  
Turbo Decoding ◽  
Extrinsic Information ◽  
Hybrid Scheme ◽  
Error Performance ◽  
Channel Decoding ◽  
Hybrid Schemes ◽  
Joint Source Channel Decoding ◽  
Conventional Scheme

Binary and Non-Binary Turbo codes have been deployed in several digital communication standards to perform error correction. In order to enhance their error performance, several schemes such as Joint Source Channel Decoding (JSCD), extrinsic information scaling mechanisms, and prioritized QAM constellation mapping have been proposed for improving the error performance of error correcting codes. In this paper, hybrid schemes comprising of JSCD, regression based extrinsic information scaling, and prioritized 16-Quadrature Amplitude Modulation (QAM) with binary and non-binary Turbo codes have been presented. Significant improvement in error performance has been observed with the proposed scheme as compared to the conventional one. The hybrid scheme in the case of binary symmetric and asymmetric LTE Turbo codes, and triple binary Turbo codes outperform the conventional scheme by 0.8 dB on average. With duo-binary Turbo codes for the DVB-RCS standard, the hybrid scheme outperforms the conventional one with an average gain of 0.9 dB in BER performance.

Distributed Joint Source-Channel Decoding Using Systematic Polar Codes

2018 ◽  
Vol 22 (1) ◽  
pp. 49-52 ◽  
Author(s):  
Liqiang Jin ◽  
Pei Yang ◽  
Hongwen Yang
Keyword(s):  
Polar Codes ◽  
Channel Decoding ◽  
Joint Source Channel Decoding

scholarly journals Efficient MAP-algorithm implementation on programmable architectures

2003 ◽  
Vol 1 ◽  
pp. 259-263 ◽  
Author(s):  
F. Kienle ◽  
H. Michel ◽  
F. Gilbert ◽  
N. Wehn
Keyword(s):  
Turbo Codes ◽  
Communication Systems ◽  
Building Blocks ◽  
Communication Performance ◽  
Channel Decoding ◽  
Turbo Decoder ◽  
Decoding Algorithms ◽  
Map Algorithm ◽  
Algorithm Implementation ◽  
Log Map

Abstract. Maximum-A-Posteriori (MAP) decoding algorithms are important HW/SW building blocks in advanced communication systems due to their ability to provide soft-output informations which can be efficiently exploited in iterative channel decoding schemes like Turbo-Codes. Multi-standards demand flexible implementations on programmable platforms. In this paper we analyze a quantized turbo-decoder based on a Max-Log-MAP algorithm with Extrinsic Scaling Factor (ESF). Its communication performance approximate to a Turbo-Decoder with a Log-MAP algorithm and is less sensitive to quantization effects. We present Turbo-Decoder implementations on state-of-the-art DSPs and show that only a Max-Log-MAP implementation fulfills a throughput requirement of ~2 Mbit/s. The negligible overhead for the ESF implementation strengthen the use of Max-Log-MAP with ESF implementation on programmable platforms.

Joint Source-Channel Decoding ASIP Architecture for Sensor Networks

2007 ◽  
pp. 98-108
Author(s):  
Pablo Ituero ◽  
Gorka Landaburu ◽  
Javier Del Ser ◽  
Marisa López-Vallejo ◽  
Pedro M. Crespo ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Channel Decoding ◽  
Joint Source Channel Decoding
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