Symmetric Distributed Joint Source-Channel Coding Using Raptor Codes

Distributed compression of correlated sources has been discussed much in wireless sensor networks, while the error-resilient implementation of this efficient coding strategy is one of the crucial issues for applications. In this paper, a symmetric Distributed Joint Source-Channel Coding (DJSCC) sche...

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Bibliographic Details
Published in:2010 International Conference on Networking Architecture and Storage pp. 317 - 321
Main Authors: Xuqi Zhu, Wenbo Zhang, Bin Li, Lin Zhang
Format: Conference Proceeding
Language:English
Published: IEEE 01.07.2010
Subjects:
AWGN channels
Channel coding
Decoding
distributed joint source channel coding
independent channels
Joints
low SNR
Parity check codes
Raptor code
Signal to noise ratio
ISBN:9781424481330, 1424481333
Online Access:Get full text
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Summary:Distributed compression of correlated sources has been discussed much in wireless sensor networks, while the error-resilient implementation of this efficient coding strategy is one of the crucial issues for applications. In this paper, a symmetric Distributed Joint Source-Channel Coding (DJSCC) scheme is proposed by using Raptor codes for the independent channels case. The channel noise and the correlation of sources are considered simultaneously within one set of encoder and decoder. The symmetric structure of the proposed approach leads to more flexible and balanced rate allocation, and the rateless property of Raptor codes also guarantees tractable code rates and error correction. At last, the simulation results demonstrate that our scheme outperforms the existing LDPC-based scheme at low SNR.
ISBN:9781424481330
1424481333
DOI:10.1109/NAS.2010.17