Abstract
The paper suggests a radio mode identification algorithm for spectrum sensing that utilizes time frequency analysis and digital image processing techniques to identify various transmission parameters of the primary user. The classical spectrum sensing techniques only provide information about existence of spectrum holes in the spectrum band of interest. However the proposed approach enables the cognitive radio to identify spectral behavior of the primary users in addition to identifying the spectrum holes with greater accuracy. These parameters can be utilized to decide the suitability of the identified spectrum holes and predict pattern of spectrum usage in near future.
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