A photonic analog-to-digital converter with multiplied sampling rate using a fiber ring

Zhu, Xiang; Zhu, Dan; Pan, Shilong

doi:10.1109/mwp.2017.8168671

Cited by 2 publications

(1 citation statement)

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“…Although the analog signal to be converted is usually aperiodic and can hardly use the aforementioned principle of equivalent sampling, we can resort to photonic techniques to perform the periodic extension. Both the linear scheme [329] and the loop-based structure [330], [331] have been proposed to repeat the signal in the time domain, in which the advantage of a large time delay with low loss provided by optical fibers is exploited.…”

Section: F Photonic Analog-to-digital Conversionmentioning

confidence: 99%

Microwave Photonic Radars

Pan

Zhang

2020

J. Lightwave Technol.

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315

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As the only method for all-weather, all-time and longdistance target detection and recognition, radar has been intensively studied since it was invented, and is considered as an essential sensor for future intelligent society. In the past few decades, great efforts were devoted to improving radar's functionality, precision, and response time, of which the key is to generate, control and process a wideband signal with high speed. Thanks to the broad bandwidth, flat response, low loss transmission, multidimensional multiplexing, ultrafast analog signal processing and electromagnetic interference immunity provided by modern photonics, implementation of the radar in the optical domain can achieve better performance in terms of resolution, coverage, and speed which would be difficult (if not impossible) to implement using traditional, even state-of-the-art electronics. In this tutorial, we overview the distinct features of microwave photonics and some key microwave photonic technologies that are currently known to be attractive for radars. System architectures and their performance that may interest the radar society are emphasized. Emerging technologies in this area and possible future research directions are discussed.

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Section: F Photonic Analog-to-digital Conversionmentioning

confidence: 99%