NDLI: Maximum-Likelihood Decoding for Nonorthogonal and Orthogonal Linear Space

Content Provider	IEEE Xplore Digital Library
Author	Hong-Yu Liu Yen, R.Y.
Copyright Year	1967
Abstract	It is a general consensus that an orthogonal space-time block code can achieve full diversity, and due to its orthogonal nature, the multiple-input-multiple-output (MIMO) maximum-likelihood (ML) decoding metrics can be decoupled into single-input-single-output (SISO) ML metrics based on linear processing at the receiver, thus greatly reducing the decoding complexity. In fact, nonorthogonal codes also currently exist that can achieve better symbol-error-rate performance without rate reduction and complexity increase for correlated fading channels. In this paper, we show by detailed derivations that nonorthogonal linear space-time block codes can also be decoded by ML decoupling through receiver linear processing. Our derived expressions for the decoupled ML metrics automatically contain the design information for the receiver linear processors.
Sponsorship	IEEE Vehicular Technology Society
Starting Page	954
Ending Page	961
Page Count	8
File Size	271612
File Format	PDF
ISSN	00189545
Volume Number	57
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood decoding Block codes MIMO Fading Signal processing System performance Additive noise Gaussian noise orthogonal space–time block codes (OSTBCs) Antenna diversity fading channels linear space–time block codes (LSTBCs) orthogonal space-time block codes (OSTBCs) linear space-time block codes (LSTBCs)
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

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