A Photonics-enabled Compressed Sensing (PCS) system for sparse Radio Frequency (RF) signals acquiring is proposed and experimentally validated, utilizing an optical pulse stretching and compression structure. A pulse train is first stretched by a dispersion module to carry the signal under measurement and a bipolar Pseudo-Random Binary Sequence (PRBS), then the pulse is compressed by another complementary dispersion module to perform integration process. The measurement matrix can be directly obtained from the envelope of the stretched pulse, avoiding the necessity of accurately obtaining the link impulse response including the Low-Pass Filter (LPF) in the traditional systems. A preliminary proof-of-concept experiment has been successfully carried out. A two-tone signal with frequencies of 400MHz and 800MHz is successfully reconstructed using a sampling rate of 100MHz, which is 1/16th of the Nyquist rate of the input two-tone signal.
A multi-point self-coupling waveguide spectral shaper for on-chip computational spectrometer is proposed and verified by simulation. The autocorrelation coefficient of the spectral response of the filter has very narrow width of the main lobe, which helps to achieve a high resolution of the spectrometer. Due to the rich design degrees of freedom, each filter with can be designed to exhibit very distinct spectral characteristics, so that only 30 channels are adequate for accurate spectral reconstruction with 100 nm bandwidth and 2.5 nm resolution. Each filter has an ultra-compact footprint less than 4550.4 μm2 and 30 filters in total occupy a footprint of about 0.13 mm2.
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