4.5 Article

Deriving Good LDPC Convolutional Codes from LDPC Block Codes

期刊

IEEE TRANSACTIONS ON INFORMATION THEORY
卷 57, 期 2, 页码 835-857

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIT.2010.2095211

关键词

Block codes; convolutional codes; low-density parity-check (LDPC) codes; message-passing iterative decoding; pseudocodewords; pseudoweights; quasi-cyclic codes; unwrapping; wrapping

资金

  1. National Science Foundation (NSF) [CCR-0205310, CCF-0830650, DMS-0708033, CCF-0830608]
  2. NASA [NNX09AI66G]
  3. Center for Applied Mathematics, University of Notre Dame, Notre Dame, IN
  4. NASA [NNX09AI66G, 117331] Funding Source: Federal RePORTER
  5. Direct For Computer & Info Scie & Enginr
  6. Division of Computing and Communication Foundations [0830608, 0830650] Funding Source: National Science Foundation

向作者/读者索取更多资源

Low-density parity-check (LDPC) convolutional codes are capable of achieving excellent performance with low encoding and decoding complexity. In this paper, we discuss several graph-cover-based methods for deriving families of time-invariant and time-varying LDPC convolutional codes from LDPC block codes and show how earlier proposed LDPC convolutional code constructions can be presented within this framework. Some of the constructed convolutional codes significantly outperform the underlying LDPC block codes. We investigate some possible reasons for this convolutional gain, and we also discuss the-mostly moderate-decoder cost increase that is incurred by going from LDPC block to LDPC convolutional codes.

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