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A Histogram-Based Segmentation Method for Wideband Spectrum Sensing in Cognitive Radios

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3 Author(s)
Doris Bao ; Faculty of Engineering, University of Sannio, Benevento, Italy ; Luca De Vito ; Sergio Rapuano

This paper presents a new method for automatic radio spectrum segmentation. Spectrum segmentation serves as a first step to identify the subbands that are in use at a certain time, when a wide portion of the spectrum is observed. The proposed method, based on the evaluation of the histogram of the power spectral density of the received signal, is designed for obtaining a low processing complexity and to be implemented in a measurement instrument or a cognitive radio receiver. The proposed method is validated on emulated signals, and the results show good accuracy of the subband boundary estimation and a processing complexity much lower than the other segmentation methods.

Published in:

IEEE Transactions on Instrumentation and Measurement  (Volume:62 ,  Issue: 7 )