Study on simple signal area estimation for efficient spectrum measurements
Study on simple signal area estimation for efficient spectrum measurements
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DOI：
10.1109/eucnc.2017.7980686
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发表时间：
2017-06
期刊：
影响因子：
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通讯作者：
K. Umebayashi;Hiroki Iwata;Janne J. Lehtomäki;M. López-Benítez
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文献类型：
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作者：
K. Umebayashi;Hiroki Iwata;Janne J. Lehtomäki;M. López-Benítez
研究了一种用于频谱测量的信号面积估计方法。频谱测量是为了估计频谱使用的统计信息，与频谱感知相比，所需的延迟并不是很关键。SA表示主用户的信号占据的区域(在时间/频域中)。传统的利用傅里叶变换(FT)和能量检测器(ED)进行SA估计的方法虽然复杂度低，但估计性能不是很好。针对这个问题，我们提出了一种后处理的、简单的SA(S-SA)估计。S-SA估计利用了相邻瓦片(即时间/频率网格)之间频谱状态的相关性，以及SA通常具有矩形形状的事实，与传统的基于轮廓跟踪的SA(CT-SA)估计方法相比，该方法具有较高的精度和相对较低的复杂度。数值结果表明，S-SA估计方法比CT-SA估计方法具有更好的检测性能。此外，与CT-SA估计相比，它可以减少计算时间。
This paper investigates a signal area (SA) estimation method for spectrum measurements. The spectrum measurements is for estimating statistical information of spectrum usage and required latency is not very critical compared to spectrum sensing. SA denotes the area (in time/frequency domain) occupied by the primary user's signal. The traditional approach, which utilizes Fourier transform (FT) and energy detector (ED) for SA estimation, can achieve low complexity, but its estimation performance is not very high. For this issue, we propose a post-processing, simple SA (S-SA) estimation. S-SA estimation exploits the correlation of the spectrum states among the neighboring tiles, i.e., time/frequency grids, and the fact that SA typically has a rectangular shape to estimate SA with high accuracy and relatively low complexity compared to a conventional method, contour tracing based SA (CT-SA) estimation. Numerical results will show that the S-SA estimation method can achieve better detection performance than CT-SA. Furthermore, it can reduce the computation time compared to the CT-SA estimation.