International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 04 | Apr -2017
p-ISSN: 2395-0072
www.irjet.net
Double-Threshold Energy Detection Technique for Cooperative Spectrum Sensing in Cognitive Radio System Pooja pandey1, Ravi Dutt Pal2 1M.Tech, 2Assistant
Student, Department of E&C Engineering, U.I.T. Allahabad, U.P (AKTU, University), India
Prof., Department of E&C Engineering, United Institute of Technology, Allahabad, Uttar Pradesh, India
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Abstract- Now a day wireless communication is growing
for cognitive radio. Cognitive radio is in a position to detect the unused spectrum band of authorized user. With the assistance of cognitive radio, cognitive radio user will use the unused spectrum band of authorized user however without interfering the authorized user. In cognitive radio, there are numerous forms of spectrum sensing techniques that are already projected in last decades. They are as Energy detection methodology(ED), Matched filter detection methodology (MFD), Cyclostationory feature detection methodology (CFD). In these all, energy detection methodology is usually used because of its low complexity.There are several techniques that are projected on the premise of invariant noise power whereas there are several factors (like thermal noise, outflow of signal) of noise. So we cannot say noise is absolutely Gaussian or stationary. Practically, noise variance of received signal can't be fixed. Dynamic double threshold technique is projected in [16]. This technique corrects the matter of noise uncertainty. Double threshold scheme measure thought about this technique that is variable in nature. The results of this method are high detection probability whereas false alarm at lower mounted rate as in the case of mounted noise condition. Different a part of this paper is arranged as follows-in section (ii) general model of detection technique is explained in section (iii) double threshold is proposed. In section (iv) noise uncertainty and dynamic threshold is explained. In section (v) proposed approach is simulated and verified. And in the last, section (vi) conclusion are drawn.
day by day but in limited spectrum bands. Cognitive radio deployment can successfully deal with the Necessitate and Scarceness of wireless spectrum. Spectrum sensing is a basic and crucial task for cognitive radio networks. Spectrum Detection of the existence of a licensed user in the radio spectrum is an important task for successful implementation of cognitive radio systems in present scenario of spectrum paucity. There are various spectrum sensing techniques which are already proposed as Energy detection, Matched filter detection and Cyclostationory feature detection etc. In this Paper, The problem of noise uncertainty is taken in to consideration for the existing energy detection technique, and a solution to the problem is proposed in form of Dynamic-Double-Threshold Energy Detection Scheme. This new approach solves the complication of fluctuating noise variance in the wireless channel, as well as improves the detection performance even, under low signal to noise ratio. Key Words: Wireless Communication, Cognitive radio, Spectrum sensing, Energy detection (ED), Cyclostationory feature detection (CFD), Matched filter detection (MFD), Dynamic Double Threshold (DDT), Noise uncertainty and Threshold.
1. INTRODUCTION: Wireless communication is growing day by day but in restricted spectrum bands. Services of wireless communication are as mobile, conductor telephone, GPS, television system etc. Concept of cognitive radio will with success agitate the necessitate and scarceness of wireless [1][2]. According to Mitola [5] cognitive radio is a well educated radio that is meant to sight offered spectrum and alter transmission parameters enabling a lot of communication. Every cognitive radio user must have following ability –Spectrum sensing, Spectrum decision, Spectrum sharing, Spectrum mobility. In these, Spectrum sensing is basic and most vital task
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2. DETECTION MODEL: Spectrum sensing [7] permits to unauthorized user to find out regarding the radio surrounds by using one or multiple sensors. The supply of the spectrum is detected by the spectrum sensing techniques [13]. These technique are developed as
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