Symbol based log-map in concatenated LDPC-convolutional codes

Authors:
Khaled ElMahgoub;Mohammed Nafie
Affiliations:
Cairo University, Dept. of Electronics and Communications, Giza, Egypt;Nile University, Wireless Intelligent Networks Center, Giza, Egypt
Venue:
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Year:
2010

Citing 4
Cited 0

Turbo codes: principles and applications

Turbo codes: principles and applications
Fundamentals of Convolutional Coding

Fundamentals of Convolutional Coding
Information Theory, Inference & Learning Algorithms

Information Theory, Inference & Learning Algorithms
Efficient encoding of low-density parity-check codes

IEEE Transactions on Information Theory

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Abstract

In this paper we study the use of a high rate Low Density Parity Check (LDPC) codes in concatenated coding structures. Specifically, we use the LDPC code as an outer code, with a convolutional code as an inner code. We decode the convolutional code using a symbol based Log-MAP (Maximum a posteriori probability) decoder, and feed the soft outputs of this decoder into a non-binary Galois Field LDPC decoder. We compare this concatenation scheme using 16 QAM modulation with one using a bit based Log-MAP decoder over Additive White Gaussian Noise (A WGN) and Stanford University Interim (SVI-3) channel model. The new proposed decoding technique has shown improvements for both channel models.