DocumentCode
3208022
Title
Bit-width optimization of extrinsic information in turbo decoder
Author
Singh, Ashutosh ; Boutillon, E. ; Masera, Guido
Author_Institution
Electron. Dept., Politec. di Torino, Turin
fYear
2008
fDate
1-5 Sept. 2008
Firstpage
134
Lastpage
138
Abstract
Soft input soft output (SISO) decoders iteratively exchanging intermediate results (extrinsic information) between themselves lie at the core of turbo decoder architectures. The implementation architecture could be serial, parallel or network on chip (NoC) based. In this paper, we present a technique for bit-width reduction of exchanged extrinsic information and analyze the impact of it for different implementation architectures. The methodology is investigated over two kinds of turbo decoding system, both based on the Max-Log-MAP algorithm. First is a serial concatenated convolutional code (SCCC) decoder and the other is a WiMax (IEEE 802.16e) parallel concatenated convolutional code (PCCC) decoder. For the SCCC decoder, bitwidth of the extrinsic information can be reduced from 8 bits down to 4 without significant bit-error-rate (BER) degradation. For the WiMax case it can be reduced from 8 bits down to 5 with a BER degradation of 0.2 dB.
Keywords
concatenated codes; convolutional codes; decoding; error statistics; network-on-chip; turbo codes; BER; Max-Log-MAP algorithm; WiMax parallel concatenated convolutional code decoder; bit-error-rate; bit-width optimization; extrinsic information; network on chip; serial concatenated convolutional code decoder; soft input soft output decoders; turbo decoder; Bit error rate; Concatenated codes; Convolutional codes; Degradation; Energy consumption; Iterative decoding; Network-on-a-chip; Quantization; Turbo codes; WiMAX;
fLanguage
English
Publisher
ieee
Conference_Titel
Turbo Codes and Related Topics, 2008 5th International Symposium on
Conference_Location
Lausanne
Print_ISBN
978-1-4244-2862-5
Electronic_ISBN
978-1-4244-2863-2
Type
conf
DOI
10.1109/TURBOCODING.2008.4658686
Filename
4658686
Link To Document