Joint source channel VL coding/decoding for deep space communication networks based on a space trellis

This paper presents joint source channel variable length （VL） coding/decoding based on a space trellis. Through constructing a joint decoding plane trellis, better decoding performance can be achieved than by using the bit-level decoding algorithm. However, the plane trellis is complicated, which re...

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Bibliographic Details
Published in:Science China. Information sciences Vol. 54; no. 9; pp. 1883 - 1894
Main Authors: Wu, WeiRen, Tu, Juan, Tu, GuoFang, Gao, ShaoShuai, Zhang, Can
Format: Journal Article
Language:English
Published: Heidelberg SP Science China Press 01.09.2011
Springer Nature B.V
Subjects:
Algorithms
Channels
Coding
Communication networks
Complexity
Computer Science
Construction
Decoding
Deep space
Information Systems and Communication Service
Planes
Research Papers
Space communication
Turbo codes
信源
可变长度编码
格子
深空通信
空间
编码/解码
网络基础
通道
space trellis
VL turbo codes
joint coding/decoding
VLS-APP
ISSN:1674-733X, 1869-1919
Online Access:Get full text
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Summary:This paper presents joint source channel variable length （VL） coding/decoding based on a space trellis. Through constructing a joint decoding plane trellis, better decoding performance can be achieved than by using the bit-level decoding algorithm. However, the plane trellis is complicated, which results in high decoding complexity for decoding VL turbo codes. To solve this problem, we construct a space trellis and design a low-complexity joint decoding algorithm with a variable length symbol-a posteriori probability （VLS- APP） algorithm in resource constrained deep space communication networks. Simulation results show that the proposed approach reduces the decoding complexity by 10% compared with the plane trellis, and the gain of Eb/No is about 0.2 dB at SER = 10-4. Furthermore, it provides substantial error protection for variable-length encoded image data.
Bibliography:11-5847/TP
joint coding/decoding, VL turbo codes, space trellis, VLS-APP
This paper presents joint source channel variable length （VL） coding/decoding based on a space trellis. Through constructing a joint decoding plane trellis, better decoding performance can be achieved than by using the bit-level decoding algorithm. However, the plane trellis is complicated, which results in high decoding complexity for decoding VL turbo codes. To solve this problem, we construct a space trellis and design a low-complexity joint decoding algorithm with a variable length symbol-a posteriori probability （VLS- APP） algorithm in resource constrained deep space communication networks. Simulation results show that the proposed approach reduces the decoding complexity by 10% compared with the plane trellis, and the gain of Eb/No is about 0.2 dB at SER = 10-4. Furthermore, it provides substantial error protection for variable-length encoded image data.
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ISSN:1674-733X
1869-1919
DOI:10.1007/s11432-011-4362-0