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Cooperative Radio Source Positioning and Power Map Reconstruction: A Sparse Bayesian Learning Approach
Din Hwa Huang,
Sau-Hsuan Wu
, Wen-Rong Wu, Peng Hua Wang
電信工程研究所
研究成果
:
Article
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同行評審
25
引文 斯高帕斯(Scopus)
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Keyphrases
Power Source
100%
User-centric
100%
Learning Approaches
100%
Positioning Map
100%
Sparse Bayesian Learning
100%
Power Graph
100%
Map Reconstruction
100%
Cooperative Radio
100%
Radio Sources
100%
Source Positioning
100%
Base Station
57%
Signal Strength
42%
Power-law Decay
28%
Strength Distribution
28%
Base Station Location
28%
Path Loss Model
28%
Detection Method
14%
Secondary User
14%
Cognitive Radio System
14%
Location Estimation
14%
Learning Rule
14%
Time-variant
14%
Distinctive Features
14%
Spectrum Utilization
14%
Basis Power
14%
Estimation Task
14%
Laplacian
14%
Group Sparse
14%
Measurement Rate
14%
Total Least Square Method
14%
Spatial Sparsity
14%
Sparse Bayesian Learning Methods
14%
Secondary User Mobility
14%
Source number Detection
14%
Spatial Measurement
14%
Spectrum Sparsity
14%
Engineering
Primary User
100%
Learning Approach
100%
Sparse Bayesian Learning
100%
Power Map
100%
Source Radio
100%
Basestation
85%
Signal Strength
42%
Secondary User
28%
Path Loss
28%
Grid Point
28%
Strength Distribution
28%
Recursive
14%
Least Square
14%
Good Performance
14%
Location Estimation
14%
Learning Rule
14%
Laplace Operator
14%
Sparsity
14%
Square Method
14%
Cognitive Radio System
14%
Power Base Station
14%
Spatial Sparsity
14%