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Complexity-Reduced Iterative Source-Channel Decoding Using Inner Irregular Insertion Convolutional Codes

Authors:

Tobias Breddermann and Peter Vary

Book Title:

ITG-Fachtagung Sprachkommunikation

Venue:

Bochum, Germany

Event Date:

6.-8.10.2010

Publisher:

VDE Verlag GmbH

Location:

Berlin

Date:

Oct. 2010

ISBN:

978-3-80073-300-2

Language:

English

Abstract

Iterative source-channel decoding (ISCD) might be computationally expensive depending on the system configuration. This is a crucial factor in many applications due to energy constraints. Therefore, complexity-reduction is an important issue. In this paper, we propose an ISCD system using inner irregular insertion convolutional (IC) codes that inserts known dummy bits into the data frame before convolutional encoding to exploit them as perfect a priori knowledge at the relatedMAP decoder. Complexity-reduction is primarily achieved for the soft decision source decoder (SDSD) by decreasing the number of parity bits of the redundant bit mapping (RBM) corresponding to the fraction of dummy bits.

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