Matched Filter Spectrum Sensing in Cognitive Radio Networking using MATLAB

Signal Processing

In Cognitive Radio Network, when the secondary user or unlicensed user want to access the spectrum band, it is required to detect the spectrum holes or unused frequency bands. The spectral resolution like bandwidth, pulse type etc is computed at a later stage and then if it matches the requirements, the unused spectrum is allocated to the secondary user. The primary user is having the highest priority in using the spectrum band. The term cognitive radio refers to the adoption of radio parameters using the sensed information of the spectrum. There are various spectrum sensing techniques proposed in the literature but still there is room for researchers in this field to explore more sophisticated approaches. There are three major categories of spectrum sensing techniques; transmitter detection, receiver detection and interference temperature detection. This paper presents an implementation technique suggested in the literature for spectrum sensing with a performance analysis of matched filter detection technique.

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