Research on Spectrum Sensing in 230MHz Power Wireless Private Network
Guo Zhi, Guan Jiuhao, Wang Hua, Peng Wu, Li GuangChen · IOP Conference Series Earth and Environmental Science · 2020
Abstract With the proposal of ubiquitous electric power internet of things, the power industry’s demand for communication network is more and more intense, and the development of power wireless private network also puts forward higher requirements and more stringent standards for the wireless communication technology involved in it. Therefore, a spectrum sensing technology for 230MHz power wireless private network is proposed in this paper. By taking advantage of the relationship between the two threshold values and the signal-to-noise ratio, adjustment factors are set to achieve different two threshold values corresponding to different signal-to-noise ratios on the premise of avoiding frequent adjustment of threshold values. On the one hand, when the channel condition is good, the distance between the double threshold is reduced also reduce the system computation. On the other hand, when the channel condition is poor, the distance between the double threshold is increased to increase the extraction opportunity of the trust function, so as to improve the detection probability of the system. Finally, experimental results show that the proposed algorithm can effectively improve the communication performance of 230MHz power wireless private network.