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We propose and experimentally demonstrate an optical pulse sampling method for photonic blind source separation. The photonic system processes and separates wideband signals based on the statistical information of the mixed signals, and thus the sampling frequency can be orders of magnitude lower than the bandwidth of the signals. The ultra-fast optical pulses collect samples of the signals at very low sampling rates, and each sample is short enough to maintain the statistical properties of the signals. The low sampling frequency reduces the workloads of the analog to digital conversion and digital signal processing systems. In the meantime, the short pulse sampling maintains the accuracy of the sampled signals, so the statistical properties of the under-sampled signals are the same as the statistical properties of the original signals. The linear power range measurement shows that the sampling system with ultra-narrow optical pulse achieves a 30dB power dynamic range.
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Jamming-Resilient LiDAR based on Photonic Blind-Source Separation
We propose a system that cancels LiDAR interference signals in real time. This system uses blind source separation to separate signals in the same bandwidth, and is compatible with electro-optical analog circuitry.
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- Award ID(s):
- 2128608
- PAR ID:
- 10450305
- Date Published:
- Journal Name:
- Frontiers in Optics and Laser Science
- Page Range / eLocation ID:
- JW5A.47
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1364/FIO.2022.JW5A.47
