LDPC code design for transmission of correlated sources across noisy channels without CSIT
Published
Conference Paper
We consider the problem of transmitting correlated data after independent encoding to a central receiver through orthogonal channels. We assume that the channel state information is not known at the transmitter. The receiver has access to both the source correlation and the channel state information. We provide a generic framework for analyzing the performance of joint iterative decoding, using density evolution. Using differential evolution, we design punctured systematic LDPC codes to maximize the region of achievable channel conditions, with joint iterative decoding. The main contribution of this paper is to demonstrate that properly designed LDPC can perform well simultaneously over a wide range of channel parameters.
Full Text
Duke Authors
Cited Authors
- Yedla, A; Pfister, HD; Narayanan, KR
Published Date
- November 29, 2010
Published In
- 6th International Symposium on Turbo Codes and Iterative Information Processing, Istc 2010
Start / End Page
- 467 - 471
International Standard Book Number 13 (ISBN-13)
- 9781424467457
Digital Object Identifier (DOI)
- 10.1109/ISTC.2010.5613829
Citation Source
- Scopus