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Content Provider | IEEE Xplore Digital Library |
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Author | Baccarelli, E. Biagi, M. |
Copyright Year | 1991 |
Abstract | Multiple-antennas constitute an effective mean to achieve spatial diversity in emerging bandwidth-efficient multiple-input multiple-output (MIMO) wireless systems. Until now, most contributions in this area are focused on the two limit cases of fully coherent and fully incoherent decoding, which, in turn, occur when perfect channel estimates and no channel estimates are available at the receiver. However, very accurate channel estimates typically demand long training sequences that reduces spectral efficiency. Therefore, testing capabilities of multiple-antenna systems with partially coherent decoding may be appealing for improving power-versus-bandwidth tradeoff. In this contribution, we focus on the optimized design and performance evaluations of multiple-antenna block-coded systems with partially-coherent maximum-likelihood (ML) decoding. After considering emerging fourth-generation WLANs (4GWLANs) as a possible application scenario, we present new performance bounds and optimized design criteria together with a new family of robust space-time unitary block codes that "self-match" to channel-estimation errors. We name these codes "self matching.". |
Sponsorship | IEEE Signal Processing Society |
Starting Page | 2911 |
Ending Page | 2923 |
Page Count | 13 |
File Size | 640385 |
File Format | |
ISSN | 1053587X |
Volume Number | 52 |
Issue Number | 10 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2004-10-01 |
Publisher Place | U.S.A. |
Access Restriction | One Nation One Subscription (ONOS) |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Design optimization Space time codes MIMO Maximum likelihood decoding Block codes Robustness Quality of service Performance loss OFDM System testing |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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