Supervised Learning Spectrum Sensing Method via Geometric Power Feature
نویسندگان
چکیده
In order to improve the spectrum sensing (SS) performance under a low Signal Noise Ratio (SNR), this paper proposes supervised learning method based on Geometric Power (GP) feature. The GP is used as feature vector in for training and testing actual captured data set. Experimental results show that detection of GP-based better than Energy Statistics (ES) Differential Entropy (DE)-based methods.
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ژورنال
عنوان ژورنال: Electronics
سال: 2023
ISSN: ['2079-9292']
DOI: https://doi.org/10.3390/electronics12071616