Abstract
With the growth of subscribers in wireless and data communication there is a scarcity of additional bandwidth to meet the demand. For the efficient usage of the spectrum bandwidth we go for a technology which is Cognitive Radio technique. The spectrum holes in the unutilized spectrum are to be used efficiently for the communication for the secondary user. The Cognitive Radio uses spectrum sensing techniques for determining the spectrum holes in the network. In order to improve the efficiency of the energy detection technique it is combined and used with the statistical Principal Component Analysis (PCA) technique. In conventional PCA technique the signal space power to the noise space power does not match with the actual SNR so a PCA correction technique is followed. The correction factor is applied to the noise space power and signal space power to equate it to the actual SNR. The threshold energy required is determined from the modified energy detection technique and the probability of false alarm value. The proposed method is the combination of PCA and energy detection spectrum sensing. The correction factor is applied to the PCA and it clearly defines the process for threshold Energy computation.
Highlights
Spectrum scarcity has become one of the main challenging obstacles to the development of new wireless communication technologies
The threshold spectrum is found to be decreasing as the threshold energy increases and the threshold spectrum is found to be high at a low Pfa and it is low at high Pfa Figure 10)
The modified energy detection technique computes the accurate value of threshold voltage and it is determined with the use of accurate noise power determined by
Summary
Spectrum scarcity has become one of the main challenging obstacles to the development of new wireless communication technologies. In order to avoid interference, different wireless networks should operate in separate bands By this approach a greater portion of the spectrum is being left unutilized. Spectrum Sensing (SS) is one of the common techniques used by a cognitive radio to locate the White Spaces (WS) It just process on the received signal in order to determine the presence of the licensed user in a band. It requires that CRs must be able to detect the signal at very low SNRs in a limited amount of time so that they won’t cause any interference to the PUs. Spectrum sensing has different sensing techniques for detecting the signal: matched filter, energy detector and feature detector[6]. The main advantage of energy detection technique is its simplicity in implementation and the short sensing time
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