Real-time gap-free dynamic waveform spectral analysis with nanosecond resolutions through analog signal processing

Saikrishna Reddy Konatham, Reza Maram, Luis Romero Cortés, Jun Ho Chang, Leslie Rusch, Sophie LaRochelle, Hugues Guillet de Chatellus and José Azaña ()
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Saikrishna Reddy Konatham: Matériaux et Télécommunications (INRS-EMT)
Reza Maram: Matériaux et Télécommunications (INRS-EMT)
Luis Romero Cortés: Matériaux et Télécommunications (INRS-EMT)
Jun Ho Chang: Université Laval
Leslie Rusch: Université Laval
Sophie LaRochelle: Université Laval
Hugues Guillet de Chatellus: Matériaux et Télécommunications (INRS-EMT)
José Azaña: Matériaux et Télécommunications (INRS-EMT)

Nature Communications, 2020, vol. 11, issue 1, 1-12

Abstract: Abstract Real-time tracking of a waveform frequency content is essential for detection and analysis of fast rare events in communications, radar, radio astronomy, spectroscopy, sensing etc. This requires a method that can provide real-time spectrum analysis (RT-SA) of high-speed waveforms in a continuous and gap-free fashion. Digital signal processing is inefficient to perform RT-SA over instantaneous frequency bandwidths above the sub-GHz range and/or to track spectral changes faster than a few microseconds. Analog dispersion-induced frequency-to-time mapping enables RT-SA of short isolated pulse-like signals but cannot be extended to continuous waveforms. Here, we propose a universal analog processing approach for time-mapping a gap-free spectrogram −the prime method for dynamic frequency analysis− of an incoming arbitrary waveform, based on a simple sampling and dispersive delay scheme. In experiments, the spectrograms of GHz-bandwidth microwave signals are captured at a speed of ~5×109 Fourier transforms per second, allowing to intercept nanosecond-duration frequency transients in real time. This method opens new opportunities for dynamic frequency analysis and processing of high-speed waveforms.

Date: 2020
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DOI: 10.1038/s41467-020-17119-2

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