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Direct digitization of ultra-wideband (UWB) noise signals using frequency band folding

机译：使用频带折叠将超宽带（UWB）噪声信号直接数字化

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Frequency spectrum responses of targets are of importance in UWB radar for target identification and recognition. As technology's digitization rate of analog sources increases, direct acquisition of wider bandwidths is becoming possible. Through conversion to the frequency domain, wider bandwidth spectral responses for targets can be produced. However, to directly digitize higher frequencies with UWB signals directly (i.e., ≥ 4 GHz), the technology is somewhat limited. This paper will present a technique which utilizes both hardware and software to produce a lower bandwidth signal (e.g., 1.5 GHz), which contains larger spectral bandwidth information (e.g., 6 GHz). The technique utilizes a double band folding methodology implemented in hardware, or software, to translate larger bandwidths into lower bandwidths for direct digitization. The generated lower bandwidth will have a unique spectral response containing the superimposed amplitudes of the larger bandwidth transmitted signal. This folded spectrum can then be used in applications such as target recognition and identification. Simulated and experimental results will be presented to evaluate the advantages and disadvantages of such an approach.
机译：目标的频谱响应在UWB雷达中对目标识别和识别非常重要。随着技术对模拟源的数字化率的提高，直接获取更宽带宽成为可能。通过转换到频域，可以为目标产生更宽的带宽频谱响应。但是，要直接用UWB信号直接数字化较高的频率（即≥4 GHz），该技术在一定程度上受到了限制。本文将介绍一种利用硬件和软件来产生较低带宽信号（例如1.5 GHz）的技术，该信号包含较大的频谱带宽信息（例如6 GHz）。该技术利用在硬件或软件中实现的双频带折叠方法，将较大的带宽转换为较低的带宽以进行直接数字化。产生的较低带宽将具有唯一的频谱响应，其中包含较大带宽传输信号的叠加幅度。然后，可以将这种折叠光谱用于诸如目标识别和识别的应用中。将提供仿真和实验结果，以评估这种方法的优缺点。

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