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Channel Estimation for mmWave Using the Convolutional Beamspace Approach
Po Chih Chen
*
, P. P. Vaidyanathan
*
Corresponding author for this work
Institute of Communications Engineering
Research output
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Contribution to journal
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Article
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peer-review
4
Scopus citations
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Keyphrases
Channel Estimation
100%
Millimeter Wave
100%
Convolutional Beamspace
100%
RF Chain
66%
Downsampling
44%
DOA Estimation
33%
Sparse Array
22%
Coarray
22%
High-resolution
11%
Beamspace
11%
Transmitter
11%
Spatial Filtering
11%
Estimation Problem
11%
Gridless Method
11%
Subspace Methods
11%
Passive Array
11%
New Channel
11%
Path Gain
11%
Spatial Location
11%
ESPRIT
11%
Analog-digital Processing
11%
Large Antenna Array
11%
Filter Taps
11%
MmWave Channel Estimation
11%
Upsampler
11%
Unit Modulus
11%
Difference Coarray
11%
Pilot Overhead
11%
Hybrid Implementation
11%
Hybrid Analog-digital
11%
Beamspace ESPRIT
11%
Engineering
Channel Estimation
100%
Filtration
50%
Sparse Array
50%
Discrete Fourier Transform
50%
High Resolution
25%
Antenna Arrays
25%
Subspace Method
25%
Path Gain
25%
Spatial Location
25%
Computer Science
Channel Estimation
100%
Density Functional Theory
50%
array antenna
25%
Spatial Location
25%
Subspace Method
25%
Mathematics
Nonuniform
100%
Discrete Fourier Transform
66%
Biochemistry, Genetics and Molecular Biology
Filtration
100%
Digital Processing
50%