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A sub-space method to detect multiple wireless microphone signals in TV band white space

机译:一种在电视频段空白空间中检测多个无线麦克风信号的子空间方法

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摘要

The main hurdle in the realization of dynamic spectrum access systems from the physical layer perspective is the reliable sensing of low power licensed users. One such scenario shows up in the unlicensed use of the TV bands where the TV band devices are required to sense extremely low power wireless microphones (WMs). The lack of technical standards among various wireless manufacturers and the resemblance of certain WM signals to narrow-band interference signals, such as spurious emissions, further aggravate the problem. Due to these uncertainties, it is extremely difficult to abstract the features of WM signals and hence develop robust sensing algorithms. To partly counter these challenges, we develop a two-stage sub-space algorithm that detects multiple narrow-band analog frequency-modulated signals generated by WMs. The performance of the algorithm is verified by using the real WM signals experimentally captured under low SNR conditions. The problem of differentiating between the WM and other narrow-band signals is left as future work.
机译:从物理层的角度来看,实现动态频谱接入系统的主要障碍是对低功率许可用户的可靠感知。在未经许可使用电视频段的情况下便出现了这样一种情况,在这种情况下,电视频段设备需要感应极低功率的无线麦克风(WM)。各个无线制造商之间缺乏技术标准,并且某些WM信号与窄带干扰信号(如杂散发射)的相似性进一步加剧了该问题。由于存在这些不确定性,因此很难提取WM信号的特征,从而开发出可靠的检测算法。为了部分应对这些挑战,我们开发了一种两阶段子空间算法,可检测WM生成的多个窄带模拟调频信号。通过使用在低SNR条件下实验捕获的真实WM信号验证了算法的性能。 WM和其他窄带信号之间的区分问题留待将来工作。

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