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논문검색

Cooperative Spectrum Sensing Optimization Algorithm Based on Adaptive Threshold Setting

초록

영어

Energy detection performance in the signal to noise ratio (SNR) fluctuation needs to be improved. In order to obtain the highest probability of detection, a new cooperative spectrum sensing algorithm is proposed. Dynamic double energy thresholds and adaptive grid search are utilized to obtain the highest probability detection. Double thresholds are adaptive to noise fluctuation, and in order to obtain the best sensing performance, adaptive grid search is used firstly to find the optimal double thresholds. Simulation results show that the proposed algorithm has excellent robustness to noise fluctuation and good sensing performance even under the low signal to noise ratio.

목차

Abstract
 1. Introduction
 2. System Model
  2.1. Calculate the Optimal Threshold
  2.2. Adaptive Double-threshold Setting
 3. Cooperative Spectrum Sensing Algorithm
 4. Adaptive Grid Search Algorithm
 5. Simulation Results
 6. Conclusion
 References

저자정보

  • Tangsen Huang School of electronics and Information Engineering, Hunan University of science and Engineering, Yongzhou, China
  • Jie-tai Wang College of Mathematics Physics and Information Engineering, Jiaxing University, Jiaxing, China

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