LDPC code design for transmission of correlated sources across noisy channels without CSIT Conference Paper

abstract

• 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.

name of conference

• 2010 6th International Symposium on Turbo Codes & Iterative Information Processing

authors

• Narayanan, Krishna

published proceedings

• 2010 6th International Symposium on Turbo Codes & Iterative Information Processing

author list (cited authors)

• Yedla, A., Pfister, H. D., & Narayanan, K. R.

citation count

• 5

complete list of authors

• Yedla, Arvind||Pfister, Henry D||Narayanan, Krishna R

publication date

• September 2010

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• International Symposium on Turbo Codes and Iterative Information Processing, ISTC  Journal

Digital Object Identifier (DOI)

• 10.1109/istc.2010.5613829

International Standard Book Number (ISBN) 13

• 9781424467457

start page

• 467

end page

• 471