By Topic

Impact of LLR saturation and quantization on LDPC min-sum decoders

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Kanistras, N. ; Comput. Eng., & Inf. Dept., Univ. of Patras, Patras, Greece ; Tsatsaragkos, I. ; Paraskevakos, I. ; Mahdi, A.
more authors

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.

Published in:

Signal Processing Systems (SIPS), 2010 IEEE Workshop on

Date of Conference:

6-8 Oct. 2010