NDLI: Performance of turbo equalized space-time coded signals with reduced complexity receiver using M algorithm

Content Provider	IEEE Xplore Digital Library
Author	Vithanage, C.M. Rajatheva, R.M.A.P. Shwedyk, E.
Copyright Year	2004
Description	Author affiliation: Dept. of Electron. & Telecommun. Eng, Univ. of Moratuwa, Sri Lanka (Vithanage, C.M.; Rajatheva, R.M.A.P.; Shwedyk, E.)
Abstract	The performance of turbo equalization for the combined equalization and decoding of space-time coded signals in frequency selective channels is investigated. The equalizer considers a multiple input multiple output (MIMO) channel and is based on a variation of the BCJR algorithm providing soft outputs. This in itself is superior to linear or decision feedback equalizers in that it seeks to reap the diversity offered by the time dispersion of the channel. The space-time decoder working on the BCJR algorithm also provides soft outputs of its decisions. These two units are used in an iterative manner to implement turbo equalization of the space-time coded signals. The prohibitive complexity of the equalizer under moderate to severe time dispersion is handled by implementing the M-BCJR algorithm, which only considers a subset of the equalizer states at each time instance. Simulation results show the improved behavior of the reduced state turbo equalizer over separate optimum MAP equalization and decoding.
Starting Page	642
Ending Page	646
File Size	334253
Page Count	5
File Format	PDF
ISBN	0780382552
ISSN	15502252
DOI	10.1109/VETECS.2004.1388907
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-17
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Frequency Decision feedback equalizers Maximum likelihood decoding Maximum likelihood estimation Iterative decoding Iterative algorithms Channel capacity Space technology Transmitting antennas
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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