A Classification of the Spectrum Sensing Techniques for Cognitive Radio
Faten Mashta1, Wissam Altabban2, Mohieddin wainakh3
1Faten Mashta*, telecommunication department, HIAST, Damascus, Syria.
2Wissam Altabban, elecommunication department, HIAST, Damascus, Syria.
3Mohiedin Wainakh, telecommunication department, HIAST, Damascus, Syria.

Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 11586-11595 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8811118419/2019©BEIESP | DOI: 10.35940/ijrte.D8811.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Cognitive radio is a solution to the problem of radio spectrum scarcity. It gives the opportunity to a secondary user to exploit the spectrum allocated toa primary user. The main function of cognitive radio is spectrum sensing whichhas gained new aspects in the last decades to determine opportunistic spectrum holes. There are many spectrumsensing methods proposed in the literature. The Performance of the setechniques may vary in different situations; it can be described by probability of detection, probability of false alarm, and sensing time. It is therefore important to compare and indicate the best scheme for a specified scenario. In this paper, we propose a classification of the main approaches of single user spectrum sensing based on its synchronization requirement into two main categories: coherent detection and non-coherent detection. The coherent detection needs some or full prior information about the primary user signal for detecting it, where the non-coherent detection does not need any prior information about the primary user signal for detecting it. In addition, we highlight the advantages and disadvantages of narrowband and wideband spectrum sensing procedures along with the challenges involved in their implementation. Furthermore, we introduce the concept and basics of cooperative sensing and interference based sensing. This paper helps the designer to be familiar with all the techniques used to achieve spectrum sensing.
Keywords: Cognitive Radio, Spectrum Sensing, Coherent Detection, Compressive Sensing, Cooperative Sensing.
Scope of the Article: Classification.