NDLI: A new family of optimized orthogonal Space-Times codes for PPM-based MIMO systems with imperfect channel estimates

Content Provider	Springer Nature Link
Author	Baccarelli, Enzo Biagi, Mauro Pelizzoni, Cristian Cordeschi, Nicola
Copyright Year	2007
Abstract	In this contribution, we develop a single Multiple-Input Multiple Output (MIMO) transceiver for Orthogonal PPM (OPPM) data transmitted over (baseband) faded MIMO channels with a priori unknown path-gains. The signaling-scheme we adopt allows to equip the Maximum-Likelihood receiver with reliable estimates of the (possibly time-varying) MIMO channel, without reducing the conveyed information throughput. Hence, after evaluating the performance of the proposed transceiver via a suitable version of the Union-Chernoff Bound, we introduce a novel family of unitary orthogonal Space-Times Block Codes (e.g., the Space-Time OPPM codes), that are able to attain both maximum diversity and coding gains. Afterwards, we present closed-form formulas for evaluating the SNR loss induced by mistiming effects possibly impairing the received signals. Lastly, we report several numerical results supporting both the medium/long coverage ranges attained by the proposed transceiver in outdoor applications and its performance robustness against correlated channel fading, mistiming effects and degradation induced by dense-multipath fading.
Starting Page	1071
Ending Page	1091
Page Count	21
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	43
Issue Number	4
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2007-04-27
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Faded MIMO channels Space-Time Block Codes (STBCs) STOPPM codes Coverage range Mistiming effects Dense-multipath fading Processor Architectures Electronic and Computer Engineering Signal, Image and Speech Processing Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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