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
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;
Conference_Titel :
Signal Processing Systems (SIPS), 2010 IEEE Workshop on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-8932-9
Electronic_ISBN :
1520-6130
DOI :
10.1109/SIPS.2010.5624882
