基于恒漏检率的超密集网络无人机通信频谱感知

2018 10th International Conference on Communications, Circuits and Systems (ICCCAS) Pub Date : 2018-12-01 DOI:10.1109/ICCCAS.2018.8768935

Xiangdong Xie, Shan Luo, R. Lin, Jiyan Huang

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引用次数: 2

摘要

随着超密集网络中基站的密集部署，无人机通信可能对地面通信产生严重干扰。无人机采用了频谱传感技术。UAV需要低且恒定的漏检率以避免进入许可信号内的频带。本文提出了一种基于频谱感知的恒定漏检率(CMDR)方法，取代了传统的恒定虚警率(CFAR)方法。实现CMDR采用了两种具体的信号检测方法，即似然比检验(LRT)和能量检测器(ED)。给出了仿真结果，与理论相符。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Constant Missed Detection Rate Based Spectrum Sensing for UAV Communications towards Ultra-Dense Networks

As the ultra-dense networks (UDNs) deploy base stations closely, unmanned aerial vehicle (UAV) communications may have serious interference on terrestrial communications. Spectrum sensing is employed for UAV. It is required a low and constant missed detection rate for UAV to avoid accessing frequency bands within licensed signals. Instead of traditional Constant False Alarm Rate (CFAR), this paper proposes a Constant Missed Detection Rate (CMDR) based on spectrum sensing. Two specific signal detection approaches are used to realize CMDR, which are Likelihood Ratio Test (LRT) and Energy Detector (ED). Simulation results are given and consistent with the theory.

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2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)

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