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- W2950855822 abstract "Spectrum sensing is essential in cognitive radio. By defining leading textit{eigenvector} as feature, we introduce a blind feature learning algorithm (FLA) and a feature template matching (FTM) algorithm using learned feature for spectrum sensing. We implement both algorithms on Lyrtech software defined radio platform. Hardware experiment is performed to verify that feature can be learned blindly. We compare FTM with a blind detector in hardware and the results show that the detection performance for FTM is about 3 dB better." @default.
- W2950855822 created "2019-06-27" @default.
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- W2950855822 date "2011-02-24" @default.
- W2950855822 modified "2023-09-23" @default.
- W2950855822 title "Demonstration of Spectrum Sensing with Blindly Learned Feature" @default.
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