Full-Duplex Spectrum Sensing Scheme Based On Cancelation

With the rapid development of wireless communication technology and the emergency of various new wireless communication business, the wireless communication’s requirement of bandwidth increases. Under this circumstance, the spectrum resource becomes more and more scare and the wireless electromagnetic environment becomes more and more complex, which increase the requirement of spectrum monitoring and management. Being the key technology of spectrum monitoring and management, the spectrum sensing technology also presents bigger challenge.In addition, though the spectrum resource is becoming more and more scare, the spectrum utilization is very low. In this case, the cognitive radio technology seems like a good solution. In cognitive radio, spectrum sensing is one of the most important technologies. However, on one hand, there’s no spectrum sensing technology achieving high performance in detection, calculation complex and stability. On the other hand, the detection mechanism also faces some problems.This paper introduces spectrum sensing technology and full-duplex communication technology. Also it focuses on the algorithms I proposed. The main content in this paper is followed:Firstly, based on the research in full-duplex communication technology, especially in digital interference cancelation algorithm, I put forward a digital interference cancelation algorithm based on correlation and least square method. By sacrificing some calculation complex, the new algorithm achieves a better cancelation effect than the traditional methods, such as MMSE method, correlation method and so on.Secondly, the new spectrum sensing scheme based on phase difference’s variance is introduced. The scheme focuses on the wireless’s phase. Using the difference between phase difference’s distribution of Gaussian noise and phase difference’s distribution of modulated wireless signal, the detection statistics and the detection method is designed. The new schemes achieves a better detection performance compared to energy detection, but the calculation complex is the same and it doesn’t have the noise’s power uncertainty problem.Thirdly, the benefits of the full-duplex spectrum sensing scheme based on interference cancelation is introduced. Also the simulation results is introduced.Finally, the full paper is summarized. Also the outlook of the improvement and future research direction is made.