A Study on False Alarm Cancellation for Spectrum Usage Measurements
A Study on False Alarm Cancellation for Spectrum Usage Measurements
复制标题
DOI：
10.1109/wcncw.2017.7919111
复制
发表时间：
2017-03
期刊：
影响因子：
--
通讯作者：
Riki Mizuchi;K. Umebayashi;Janne J. Lehtomäki;M. López-Benítez
中科院分区：
文献类型：
--
作者：
Riki Mizuchi;K. Umebayashi;Janne J. Lehtomäki;M. López-Benítez
两层智能频谱接入由基于动态频谱接入的频谱共享（第一层DSA）和基于频谱感知系统（第二层SAS）组成。SAS的一个主要作用是通过长期、宽带和广域测量提供频谱使用方面的有用统计信息。本文重点研究了信号面积估计这一信号处理的核心问题，以了解频谱的使用情况。具体来说，将SA估计作为能量检测器输出的后处理。已有研究表明，简单sa （Simple-SA, S-SA）估计可以提高频谱利用率测量的性能，但它本身就会增加误报。针对这一问题，本文提出了一种高效的虚警消除技术——l型虚警消除（L-FC）。数值计算结果表明，与其他方法相比，该方法具有较好的检测性能，且计算量小。
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.