New reduced state space BCJR algorithms for the ISI channel
Author
Summary, in English
A critical component in detection under intersymbol interference (ISI)
and in turbo equalization is the BCJR algorithm. We study two approaches
to reducing its computation. First, the state space is reduced by
optimizing the receiver's phase-maximizing all pass filter. Then the state
space used by the BCJR calculation is reduced by breaking the state
into an offset and a main state. These procedures are
demonstrated by ISI detection and turbo equalization over strongly
bandlimited channels.
and in turbo equalization is the BCJR algorithm. We study two approaches
to reducing its computation. First, the state space is reduced by
optimizing the receiver's phase-maximizing all pass filter. Then the state
space used by the BCJR calculation is reduced by breaking the state
into an offset and a main state. These procedures are
demonstrated by ISI detection and turbo equalization over strongly
bandlimited channels.
Publishing year
2009
Language
English
Pages
889-893
Publication/Series
Proceedings, International Symp. on Information Theory
Full text
- Available as PDF - 102 kB
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Document type
Conference paper
Publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
Topic
- Electrical Engineering, Electronic Engineering, Information Engineering
Keywords
- turbo equalization
- intersymbol interference
- decoding
- BCJR algorithm
Conference name
IEEE International Symposium on Information Theory (ISIT), 2009
Conference date
2009-06-28 - 2009-07-03
Conference place
Seoul, Korea, Democratic People's Republic of
Status
Published
Project
- EIT_HSWC:Coding Coding, modulation, security and their implementation
Research group
- Telecommunication Theory
- Informations- och kommunikationsteori
ISBN/ISSN/Other
- ISBN: 978-1-4244-4313-0