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A Study on False Alarm Cancellation for Spectrum Usage Measurements

机译:频谱使用测量中虚假报警消除的研究

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Two-layer smart spectrum access (SSA) consists of spectrum sharing based on dynamic spectrum access (DSA: first layer) and spectrum awareness system (SAS: second layer). A main role of SAS is providing useful statistical information in terms of spectrum usage by long term, wide-band and wide-area measurements. In this paper, we focus on signal area (SA) estimation which is a core signal processing in SAS to understand the spectrum usage. Specifically, SA estimation is used as post processing for energy detector outputs. It has been shown that Simple-SA (S-SA) estimation can enhance the spectrum usage measurement performance, but it inherently increases false alarms. For this issue, efficient false alarm cancellation technique, L-shaped false alarm cancellation (L-FC), is proposed in this paper. Numerical evaluations show that the proposed method can achieve proper detection performance while the computational cost is small compared to other methods.
机译:两层智能频谱访问(SSA)由基于动态频谱访问(DSA:第一层)和频谱感知系统(SAS:第二层)的频谱共享组成。 SAS的主要作用是通过长期,宽带和广域测量提供有关频谱使用情况的有用统计信息。在本文中,我们专注于信号面积(SA)估计,这是SAS中的核心信号处理,以了解频谱使用情况。具体而言,将SA估计用作能量检测器输出的后处理。已经表明,Simple-SA(S-SA)估计可以增强频谱使用情况的测量性能,但是会固有地增加虚假警报。针对此问题,本文提出了有效的虚假警报消除技术,即L形虚假警报消除(L-FC)。数值评估表明,与其他方法相比,该方法可以达到较好的检测性能,同时计算量较小。

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