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Research of Spectrum Sensing in Cognitive Radio System

Author: HouZhiShen
Tutor: YeZhiHui
School: Nanjing University
Course: Electronics and Communication Engineering
Keywords: Cognitive radio Energy detection Collaborative detection Dual Threshold IEEE802.22
CLC: TN925
Type: Master's thesis
Year: 2011
Downloads: 117
Quote: 0
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Abstract


With the rapid development of wireless communication technology, the number of wireless users increasingly surge, growing demand for mobile communications and broadband wireless access services, radio spectrum resources becomes very precious scarce. But a lot of scientific research institutions: studies have shown that wireless spectrum shortage of resources on the one hand, on the one hand, and utilization is low, serious waste. The reason is disharmony caused by the static spectrum allocation policy with dynamic spectrum utilization. The problem of low spectrum utilization Dr, Mitola in 1999 proposed the strategy of using cognitive radio technology dynamically access spectrum cognitive users can dynamically use of idle spectrum resources, can effectively improve the spectrum utilization. In order to avoid interference to authorized users, the cognitive user must be timely and accurate detection of the the channel exists authorized user signals, spectrum detection technology is an important premise and guarantee of cognitive radio systems work properly. In this paper, spectrum sensing cognitive radio system technology as the main line, a detailed study of energy detection algorithm, collaborative detection algorithm, dual-threshold detection algorithm, and a large number of MATLAB simulation in the last article, also briefed the draft IEEE 802.22 standard spectrum detection scheme as follows: the first detailed analysis of the energy detection principle, energy detection probability of false alarm and detection probability formula is derived, and a different signal-to-noise ratio and the detection time, energy detection MATLAB performance simulation analysis. Followed by a fading channel energy detection algorithm, derived Rayleigh sorrow off the channel, Rice channels, Nakagami channel probability density function and the MATLAB simulation. Finally, the uncertainty analysis of the noise impact on energy detection performance, the same make simulation analysis. Traditional energy detection algorithm has been improved cooperative energy detection algorithm. Introduced the concept of collaborative detection, classification and data fusion rule and \The simulation results show that the, collaborative energy detection algorithm, compared with the single node energy detection algorithm performance has improved greatly. But further simulations show that the detection performance declined when a collaborative cognitive user environment of low SNR or add malicious collaborative user need weighted processing. Analysis, dual-threshold the collaborative energy detection algorithm principle, carried out a detailed theoretical and Rayleigh channel, for example the MATLAB simulation. The simulation results show that the algorithm to a certain extent be able to overcome the adverse effects of noise caused by the uncertainty of the energy detection, collaborative detection compared with single threshold, the performance improved. Brief introduction IEEE 802.22 system topologies, coverage area, the system capacity and the IEEE 802.22 standard draft spectrum detection algorithm, a spectrum detection algorithm based on the FM modulated wireless microphone signals, simulation analysis. The use of energy detection algorithm and cooperative energy detection algorithm on the DVB-T signal detection.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Radio relay communications,microwave communications
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