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Published in:
2018 | OriginalPaper | Chapter
A Spectrum Sensing Method Based on Null Space Pursuit Algorithm and FCM Clustering Algorithm
Authors : Yongwei Zhang, Yonghua Wang, Pin Wan, Shunchao Zhang, Nan Li
Published in: Cloud Computing and Security
Publisher: Springer International Publishing
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Abstract
In order to improve the sensing performance of spectrum sensing systems in complex environments. This paper proposes a spectrum sensing method based on Null Space Pursuit algorithm (NSP) and fuzzy c-means (FCM) clustering algorithm. The signal sensing by the spectrum system is first pre-processed using a Null Space Pursuit algorithm and the signal is decomposed into sub-signal components with more distinct features. In order to further improve the accuracy of feature estimation the IQ decomposition method is used to process the signal. Then extract the eigenvalues of the signals to form a two dimensional feature vector. Finally, these eigenvectors and the FCM clustering algorithm yield a classifier that uses the classifier to determine the state of the unknown spectrum. In the experimental part, we verify the method in different environments. Experimental results show that the method can effectively improve the sensing performance of spectrum sensing system compared to traditional spectrum sensing methods.