基于信噪比估计的无人机频谱感知算法  

UAV spectrum sensing algorithm based on signal-to-noise ratio estimation

作　　者：张曾 邓小芳[1] ZHANG Zeng;DENG Xiaofang(Key Laboratory of Cognitive Radio and Information Processing,Ministry of Education,Guilin University of Electronic Technology,Guilin 541000,China)

机构地区：[1]桂林电子科技大学认知无线电与信息处理教育部重点实验室,广西桂林541000

出　　处：《现代电子技术》2020年第10期119-123,共5页Modern Electronics Technique

基　　金：国家自然科学基金资助项目(61761014);认知无线电与信息处理教育部重点实验室(CRKL170106);广西研究生教育创新计划资助项目(YCBZ2017050)。

摘　　要：无人机外出执行任务的过程中,有效的频谱感知能力能适应多种复杂的电磁环境,提高无人机的生存能力从而保障任务的顺利执行。根据实际应用情况,提出一种基于信噪比估计的无人机频谱感知算法。该算法首先对信噪比环境进行估计,然后选择更合适的基础感知算法,保障在低信噪比环境下的检测性能。仿真结果表明,该算法在低信噪比环境下较传统感知算法提高了检测性能,达到了在降低算法复杂度的同时,提高频谱利用率的目的。In the process of UAV going out to perform tasks,the effective spectrum sensing ability can adapt to a variety of complex electromagnetic environment and improve the UAV viability to ensure the smooth execution of tasks. A UAV spectrum sensing algorithm based on SNR(signal-to-noise ratio)estimation is proposed according to the practical application situation. In the algorithm,the SNR environment is estimated,and then the more appropriate basic sensing algorithm is selected to ensure the detection performance in the low SNR environment. The simulation results show that,in comparison with the traditional sensing algorithm,this algorithm improves the detection performance in the low SNR environment,reduces the complexity of the algorithm,and achieves the purpose of improving the spectrum utilization.

关 键 词：无人机 频谱感知 信噪比估计 性能检测 阈值调整 仿真分析 

分 类 号：TN781-34[电子电信—电路与系统]