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Development of a measurement system for spectrum awareness - DC estimation based on Welch-FFT

机译:频谱感知测量系统的开发-基于Welch-FFT的直流估计

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摘要

To resolve the spectrum scarcity problem, dynamic spectrum access (DSA) has been investigated recently. In DSA, an unlicensed user (secondary user: SU) can opportunistically access the unused spectrum (White Space: WS) owned by the licensed user (primary user: PU) while mitigating harmful interference from SU to PU. Key technique in DSA is spectrum sensing which is used to detect WS. However, implementing spectrum sensing in practice with reasonably low cost is very challenging due to the required detection accuracy and quickness. One possible approach to achieve the requirements is to use statistics regarding PU spectrum utilization in spectrum sensing. For this issue, it is necessary to develop a system for obtaining the statistical information, such as Duty Cycle (DC). In our previous work, DC estimation based on Welch-FFT has been investigated. In the DC estimation method, there is a trade-off relationship between DC estimation accuracy and WS detection accuracy with regard to the segment size of Welch-FFT. In this paper, we define the evaluation criteria for DC estimation accuracy and WS detection accuracy and provide the segment size design guideline in terms of DSA.
机译:为了解决频谱稀缺问题,最近已经研究了动态频谱访问(DSA)。在DSA中,未许可用户(次要用户:SU)可以机会访问许可用户(主要用户:PU)拥有的未使用频谱(空白:WS),同时减轻SU对PU的有害干扰。 DSA中的关键技术是频谱检测,用于检测WS。然而,由于所需的检测精度和快速性,在实践中以合理的低成本实施频谱感测是非常具有挑战性的。达到要求的一种可能方法是在频谱感测中使用有关PU频谱利用率的统计信息。对于此问题,有必要开发一种用于获取统计信息的系统,例如占空比(DC)。在我们以前的工作中,已经研究了基于Welch-FFT的DC估计。在DC估计方法中,关于Welch-FFT的分段大小,DC估计精度与WS检测精度之间存在折衷关系。在本文中,我们定义了DC估计准确性和WS检测准确性的评估标准,并根据DSA提供了段大小设计指南。

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