DocumentCode
2897890
Title
Impact of LLR saturation and quantization on LDPC min-sum decoders
Author
Kanistras, N. ; Tsatsaragkos, I. ; Paraskevakos, I. ; Mahdi, A. ; Paliouras, V.
Author_Institution
Comput. Eng., & Inf. Dept., Univ. of Patras, Patras, Greece
fYear
2010
fDate
6-8 Oct. 2010
Firstpage
410
Lastpage
415
Abstract
In this paper we quantify the power of noise due to quantization and saturation of the LLRs. Subsequently a model is constructed using the obtained noise power expressions that can be used to estimate the performance of various LLR quantization schemes. The model is validated by comparing the estimation with experimental BER results for an LDPC-based system that uses the min-sum layered decoding algorithm.
Keywords
error statistics; parity check codes; quantisation (signal); BER; LDPC min-sum decoders quantization; LDPC-based system; LLR quantization; LLR saturation; low density parity check codes; min-sum layered decoding algorithm; noise power expressions; performance estimation; AWGN; Bit error rate; Decoding; Parity check codes; Quantization; Roundoff errors; LDPC decoding; LLR quantization; finite-word length effects; soft-decoding;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems (SIPS), 2010 IEEE Workshop on
Conference_Location
San Francisco, CA
ISSN
1520-6130
Print_ISBN
978-1-4244-8932-9
Electronic_ISBN
1520-6130
Type
conf
DOI
10.1109/SIPS.2010.5624882
Filename
5624882
Link To Document