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Theoretical bound on modulation classification for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels
Yu Liu
,
Alexander M. Haimovich
, Wei Su
, Emmanuel Kanterakis
Electrical and Computer Engineering
The Elisha Yegal Bar-Ness Center for Wireless Information Processing
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
3
Scopus citations
Overview
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Dive into the research topics of 'Theoretical bound on modulation classification for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels'. Together they form a unique fingerprint.
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Computer Science
Channel Estimation
50%
Channel Knowledge
50%
Classification Algorithm
50%
Classification Problem
50%
Cramer-Rao Bound
50%
Fading Channel
100%
Flat Fading
100%
Likelihood Function
50%
MIMO Systems
100%
Perfect Channel
50%
Performance Bound
50%
Transmitted Signal
50%
Keyphrases
Blind Channel Estimation
33%
Classification Algorithms
33%
Classification Problem
33%
Cramér-Rao Bound
33%
Flat Fading Channel
100%
Likelihood Function
33%
Modulation Classification
100%
Modulation Format
33%
Multiple-input multiple-output System
100%
Performance Bounds
33%
Received Signal
33%
Signal Base
33%
Tight
33%
Transmission Signal
33%
Unknown Channels
33%