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Preliminary Experimental Results on the Spectrum Sensing Performances for UWB-Cognitive Radios for Detecting IEEE 802.11n Systems

机译:用于检测IEEE 802.11n系统的UWB认​​知无线电频谱传感性能的初步实验结果

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In this paper we present the spectrum sensing performance for detecting the IEEE 802.11n WiFi terminals for Ultra-Wideband (UWB) based Cognitive Radio (CR) systems. The 802.11n WiFi system lies in the 5GHz un-licensed frequency band and is subjected to interferences from the UWB transmissions. The UWB based CR terminals perform secondary communications by opportunistically utilizing the available spectrum when no legacy users such as the 802.11n WiFi systems are present in the environment. Therefore, the CR nodes need to sense the spectrum to detect the presence of any legacy users in the surroundings. Here, we study the commonly known spectrum sensing technique, the energy based method, on experimentally obtained signal data for the IEEE 802.11n WiFi system, and analyze the detection performances for detecting the legacy user. We present the time-frequency measurements obtained from the experimental data, and also compute the probabilities of missed detection and false alarm for detecting the legacy user by performing post analysis on the experimental data. The results can then be used to determine the detection threshold based on the required detection criteria.
机译:在本文中,我们介绍了用于检测基于超宽带(UWB)的认知无线电(CR)系统的IEEE 802.11n WiFi终端的频谱感测性能。 802.11n Wifi系统位于5GHz未许可的频带中,并从UWB变速器受到干扰。当环境中没有诸如802.11n WiFi系统的传统用户存在时,基于UWB基于的CR终端通过诸如802.11n WiFi系统的传统用户存在的可用频谱来执行辅助通信。因此,CR节点需要感测频谱以检测周围环境中任何传统用户的存在。这里,我们研究了常识的频谱感测技术,基于能量的方法,在实验获得的IEEE 802.11n WiFi系统上获得的信号数据,并分析用于检测传统用户的检测性能。我们介绍了从实验数据获得的时频测量,并且还通过对实验数据进行后分析来检测传统用户来计算错过的检测和误报的概率。然后可以使用结果基于所需的检测标准来确定检测阈值。

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