NDLI: Construction of time-invariant rate-compatible-low-density parity-check convolutional codes

Content Provider	IET Digital Library
Author	Mu, Liwei Liu, Zhiyong Fang, Yi Hsiung
Abstract	In this study, a family of time-invariant rate-compatible (RC) low-density parity-check (LDPC) convolutional codes with algebraic construction is developed based on the graph-extension method over a given positive integer m, which is considered as the given encoding memory. The base code of this family is first obtained by modifying a given construction of a time-invariant LDPC convolutional code. Afterwards, the authors derive the other extended component codes by successively adding extra information bits into the base code. In particular, each component code in the family not only enables the property of fast encoding that can dramatically reduce the implementation complexity, but has the given encoding memory m for each parity-check bit that can remarkably improve the error performance as well. They also demonstrate that the Tanner graph for all the codes in the family is free of girth 4. Simulation results indicate that the proposed family of RC-LDPC convolutional codes collectively offers a desirable performance improvement as compared with the existing counterparts over the binary-input additive Gaussian noise channels under BP decoding.
Starting Page	1021
Ending Page	1026
Page Count	6
ISSN	17518628
Volume Number	10
e-ISSN	17518636
Issue Number	Issue 9, Jun (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/10/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2015.0867
Journal	IET Communications
Publisher Date	2016-06-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebraic Construction Binary Input Additive Gaussian Noise Channel Code Combinatorial Mathematics Convolutional Codes Encoding Memory Extended Component Code Gaussian Channel Gaussian Noise Graph Extension Method Graph Theory LDPC Convolutional Code Parity Check Code RC Statistics Tanner Graph Time Invariant LDPC Convolutional Code Time Invariant Rate Compatible Low Density Parity Check Convolutional Code
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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