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Microwave spectrum sensing based on photonic time stretch and compressive sampling

机译:基于光子时间拉伸和压缩采样的微波频谱感测

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摘要

An approach to realizing microwave spectrum sensing based on photonic time stretch and compressive sampling is proposed. The time stretch system is used to slow down the input high-speed signal and the compressive sampling based on random demodulation can further decrease the sampling rate. A spectrally sparse signal in a wide bandwidth can be captured with a sampling rate far lower than the Nyquist rate thanks to both time stretch and compressive sampling. It is demonstrated that a system with a time stretch factor 5 and a compression factor 8 can be used to capture a signal with multiple tones in a 50 GHz bandwidth, which means a sampling rate 40 times lower than the Nyquist rate. In addition, the time stretch of the microwave signal largely decreases the data rate of random data sequence and therefore the speed of the mixer in the random demodulator.
机译:提出了一种基于光子时间拉伸和压缩采样的微波频谱感测方法。时间拉伸系统用于减慢输入的高速信号,基于随机解调的压缩采样可以进一步降低采样率。由于时间拉伸和压缩采样,可以以远远低于奈奎斯特速率的采样率捕获宽带宽中的频谱稀疏信号。事实证明,具有时间拉伸因子5和压缩因子8的系统可用于捕获50 GHz带宽中具有多个音调的信号,这意味着采样速率比奈奎斯特速率低40倍。另外,微波信号的时间延长大大降低了随机数据序列的数据速率,从而降低了随机解调器中混频器的速度。

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