NDLI: Optimal space-time block codes for reduced complexity DS-CDMA decoders

Content Provider	IEEE Xplore Digital Library
Author	Jifeng Geng Mitra, U.
Copyright Year	2001
Description	Author affiliation: Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA (Jifeng Geng)
Abstract	Space-time coding promises greater insensitivity to wireless channel fading and improved channel capacity. In the current work, decoders based on the minimum mean squared error (MMSE) criterion are investigated. Two different MMSE-based decoders are developed based on knowledge about the residual error statistics. The performance of the decoders are evaluated in terms of achievable diversity levels for spread (so called "wideband" signaling) and non-spread ("narrowband") signaling as well as for single user and multi-user systems. The effects of multiple receive antennae is explicitly considered. Based on the pairwise symbol error rate, MMSE decoder optimized codes are found via exhaustive search. By evaluation of the union bound, it is seen that the MMSE decoder optimized codes offer good performance and ML decoder optimized space-time block codes generally maintain their good performance even when decoded through a MMSE decoder.
Starting Page	1021
Ending Page	1025
File Size	497407
Page Count	5
File Format	PDF
ISBN	078037147X
ISSN	10586393
DOI	10.1109/ACSSC.2001.987649
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-11-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Block codes Multiaccess communication Decoding Error analysis Space time codes Equalizers Fading Channel capacity Receiving antennas Pairwise error probability
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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