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Collaborative Sampling and Binary Local Output Generation for Distributed Blind Cooperative Spectrum Sensing
Tsang Yi Wang,
Feng Tsun Chien
, Chi Kai Hsieh
電子研究所
研究成果
:
Article
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同行評審
5
引文 斯高帕斯（Scopus）
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Engineering
Cognitive Radio
50%
Cooperative Spectrum Sensing
100%
Decision Rule
50%
Detection Performance
50%
Energy Detector
100%
Fusion Rule
100%
Noise Level
50%
Noise Power
50%
Primary Signal
50%
Signal Sampling
50%
Signal-to-Noise Ratio
50%
Simulation Result
50%
Test Size
100%
Keyphrases
Binary Output
83%
Blind Spectrum Sensing
33%
Cognitive Radio
16%
Collaborative Sampling
100%
Cooperative Energy
16%
Cooperative Spectrum Sensing
100%
Decision Threshold
16%
Detection Performance
16%
Energy Detector
33%
Expected Sample Size
16%
Fixed Sample Size
16%
Fixed Sample Size Test
33%
Fusion Rule
33%
Local Outputs
100%
Noise Level
33%
Noise Power
16%
Primary Signal
16%
Sampling Framework
16%
Sampling numbers
16%
Sampling Scheme
16%
Sequential Test
33%
Signal Sampling
16%
Signal-to-noise Ratio
16%
Traditional Energy
16%
Uniform Sampling
16%
Computer Science
Cognitive Radio
100%
Decision Threshold
100%
Detection Performance
100%
Noise-to-Signal Ratio
100%
Primary Signal
100%
Sampling Scheme
100%
Signal Sampling
100%
Uniform Sampling
100%