CMOS compatible integrated all-optical radio frequency spectrum analyzer

Ferrera, Marcello; Reimer, Christian; Pasquazi, Alessia; Peccianti, Marco; Clerici, Matteo; Caspani, Lucia; Chu, Sai T.; Little, Brent E.; Morandotti, Roberto; Moss, David

doi:10.1364/oe.22.021488

Cited by 99 publications

(60 citation statements)

References 29 publications

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“…Many key functions have been realized, such as those based on RF time delays including phased array antennas (PAAs), microwave photonic filters (MPFs), analog-to-digital or digital-to-analog conversion, and arbitrary waveform generation [4][5][6][7], as well as RF spectrometers [8][9][10], high fidelity microwave tone generation [11] and many others. For microwave and RF time delays a diverse range of photonic approaches has been proposed based on dispersive elements such as single-mode fibre [12], dispersion compensating fibre [13] and fibre Bragg gratings [14][15], slow-light devices based on stimulated Brillouin scattering, integrated resonators [16][17][18], wavelength conversion coupled with chromatic dispersion [19], and many more [20][21].…”

Section: Introductionmentioning

confidence: 99%

Advanced RF and microwave functions based on an integrated optical frequency comb source

et al. 2018

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Abstract:We demonstrate advanced transversal radio frequency (RF) and microwave functions based on a Kerr optical comb source generated by an integrated micro-ring resonator. We achieve extremely high performance for an optical true time delay aimed at tunable phased array antenna applications, as well as reconfigurable microwave photonic filters. Our results agree well with theory. We show that our true time delay would yield a phased array antenna with features that include high angular resolution and a wide range of beam steering angles, while the microwave photonic filters feature high Q factors, wideband tunability, and highly reconfigurable filtering shapes. These results show that our approach is a competitive solution to implementing reconfigurable, high performance and potentially low cost RF and microwave signal processing functions for applications including radar and communication systems.

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Section: Introductionmentioning

confidence: 99%

Advanced RF and microwave functions based on an integrated optical frequency comb source

et al. 2018

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“…While the results shown in this paper focused on photonic RFSA of high repetition rate optical pulse trains, and, in particular, identification of the associated RF frequency tones, we can also monitor impairments such as the impact of dispersion on these pulse trains (see, e.g., [13][14][15][16][17]43]). Moreover, as demonstrated in [48], we can obtain the RF spectra of more arbitrary waveforms such as pulse bursts having uniform, apodized, and ramped envelopes/profiles and frequency content at 40 GHz and 80 GHz.…”

Section: Discussionmentioning

confidence: 99%

“…While a trade-off between measurement bandwidth and resolution has to be made, photonic implementation of radio-frequency spectrum analysis (RFSA) based on ultrafast nonlinear optics (e.g., Kerr nonlinearity) allows for characterizing signals with a bandwidth well beyond 100 GHz. Photonic RFSA was originally proposed and demonstrated using optical fiber as the nonlinear medium [12]; it has since been reported using integrated technologies in chalcogenide, silicon-on-insulator, and silica material platforms [13][14][15][16][17]. In all demonstrations, however, only a single waveform can be characterized at a time.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Multi-Channel Microwave Photonic Signal Processing

Chen

Moslemi

et al. 2017

Photonics

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Microwave photonic (MWP) systems exploit the advantages of photonics, especially with regards to ultrabroad bandwidth and adaptability, features that are significantly more challenging to obtain in the electronic domain. Thus, MWP systems can be used to realize a number of microwave signal processing functions including, amongst others, waveform generation and radio-frequency spectrum analysis (RFSA). In this paper, we review recent results on fiber and integrated approaches for simultaneous generation of multiple chirped microwave waveforms as well as multi-channel RFSA of ultrahigh repetition optical rate pulse trains.

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“…Recently [60], we reported an integrated RF spectrum analyzer based on Hydex glass [26]. Figure 6 shows the device configuration of the RF spectrum analyzer while Figure 7 shows its measured frequency response showing a 3dB bandwidth of about 2.6THz, limited by our system measurement capability.…”

Section: Radio Frequency Spectrum Analyzermentioning

confidence: 99%

Nonlinear optical signal processing in high figure of merit CMOS compatible platforms

Moss

Morandotti²

2015

SPIE Proceedings

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Photonic integrated circuits that exploit nonlinear optics in order to generate and process signals all-optically have achieved performance far superior to that possible electronically -particularly with respect to speed. Although silicon-on-insulator has been the leading platform for nonlinear optics for some time, its high two-photon absorption at telecommunications wavelengths poses a fundamental limitation. We review the recent achievements based in new CMOS-compatible platforms that are better suited than SOI for nonlinear optics, focusing on amorphous silicon and Hydex glass. We highlight their potential as well as the challenges to achieving practical solutions for many key applications. These material systems have opened up many new capabilities such as on-chip optical frequency comb generation and ultrafast optical pulse generation and measurement.

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CMOS compatible integrated all-optical radio frequency spectrum analyzer

Cited by 99 publications

References 29 publications

Advanced RF and microwave functions based on an integrated optical frequency comb source

Advanced RF and microwave functions based on an integrated optical frequency comb source

Simultaneous Multi-Channel Microwave Photonic Signal Processing

Nonlinear optical signal processing in high figure of merit CMOS compatible platforms

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