Block Turbo Codes and Iterative Decoding

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Block Turbo Codes and Iterative Decoding

Block Turbo Codes and Iterative Decoding

Course Plan

Audience

This is a 1 (Swedish) credit point PhD course offered at Halmstad University. It takes

place for the first time sometime during 2006. It is part of a block of five courses

intended to present certain research issues as well as some tools and techniques used at

CERES.

Block Turbo Codes and Iterative Decoding addresses mainly PhD students undertaking a

graduate education at CERES. It might also be of interest to people needing to get

acquainted with some of the techniques and tools related to iterative decoding and digital

communications.

Goals

The primary goal of the course Block Turbo Codes and Iterative Decoding is to explain

the concepts, advantages and limitations of concatenated codes and iterative decoding.

Many issues regarding coding and digital communications in general are left out, but

students following the course will be able to understand the properties and purpose of the

different components in the code system. This implies that the students will be able to

discuss design trade-offs and implementation issues for block turbo codes as well as

complexity issues regarding iterative decoding. Further, the student will have a basis to

follow more advanced courses in coding and digital communications offered both in

Sweden and elsewhere.

Content

The content is organized as a crash course in iterative decoding including a larger project

implementing some of the decoding principles discussed in the course. More specifically,

the course will include:

1. Component codes and their properties

2. Maximum-likelihood sequence decoding

3. Maximum a posteriori decoding

4. Function and purpose of the interleaver

5. Extrinsic information

6. Iterative decoding

7. Performance analysis and complexity issues

Elisabeth Uhlemann 1(2) Feb. 23, 06


Form

The course will be run intensively during one week. There will be lectures presenting the

material in the course. The lectures will be complemented with on-line material for

solving a smaller project where a communication system using a simple concatenated

code with iterative decoding is implemented. This project is used for examination of the

course.

Grades will be given in the form of passed/not passed.

Literature

Suitable articles will be identified.

Elisabeth Uhlemann 2(2) Feb. 23, 06

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