RF-Photonic Spatial-Spectral Channelizing Receiver

Beardell, William L.; Mazur, Benjamin; Ryan, Conor J.; Schneider, Garrett J.; Murakowski, Janusz; Prather, Dennis W.

doi:10.1109/jlt.2021.3116527

Cited by 7 publications

(4 citation statements)

References 22 publications

(28 reference statements)

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“…In a modern WDM-based coherent optical communication system, the baud rate of a single wavelength can be over 100 GHz, imposing strong bandwidth requirements for the electrical hardware, including the ADC and DSP. In recent years, there has been considerable progress in channelization for a coherent optical communication system [1][2][3][4][5][6][7], but little work has been done to propose optimization methods for a single channel. Moreover, the ultra-high sampling rate of the ADCs beyond 100 GHz and ultra-fast DSP to perform real-time distortion compensation are needed for a 1 Tb/s communication system.…”

Section: Introductionmentioning

confidence: 99%

Deep learning-based image-like channelization for broadband receiver

Huang¹,

Yao²

2023

Advanced Optical Manufacturing Technologies and Applications 2022; And 2nd International Forum of Young Scientists on Advanced

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We propose a novel image-like channelization method that utilizes a convolutional recurrent neural network (CRNN) for channel synthesis to reduce the bandwidth requirements of the electrical hardware. In this study, the spectrum of a 30-GBaud QPSK signal is spectrally sliced and received by four low-speed coherent receivers based on a conventional coherent optical communication system. After the recovery of the trained CRNN, the average error vector magnitude (EVM) of the 30-GBaud baseband signal is improved from over 60% by uncorrected channel synthesis to around 15%.

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Section: Introductionmentioning

confidence: 99%

Deep learning-based image-like channelization for broadband receiver

Huang¹,

Yao²

2023

Advanced Optical Manufacturing Technologies and Applications 2022; And 2nd International Forum of Young Scientists on Advanced

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“…Here, the optical modulator is used to overlay an electrical signal onto an optical signal for long range transmission through an optical fiber, be it to an antenna atop a radio tower, or to a networking hub hundreds of miles away [5]. The optical modulator is an integral part of active and passive millimeter wave imaging systems, modern telecommunications networks and data communication, and is widely used in on-chip RF photonic devices, frequency comb generation, on chip signal splitting, sensing, and quantum photonics [1], [4], [7]- [24].…”

Section: Introductionmentioning

confidence: 99%

Ultra-High Extinction Dual-Output Thin-Film Lithium Niobate Intensity Modulator

et al. 2022

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A low voltage, wide bandwidth compact electro-optic modulator is a key building block in the realization of tomorrow's communication and networking needs. Recent advances in the fabrication and application of thin-film lithium niobate, and its integration with photonic integrated circuits based in silicon make it an ideal platform for such a device. In this work, a high-extinction dual-output folded electro-optic Mach Zehnder modulator in the silicon nitride and thin-film lithium niobate material system is presented. This modulator has an interaction region length of 11 mm and a physical length of 7.8 mm. The device demonstrates a fiber-to-fiber loss of roughly 12 dB using on-chip fiber couplers and DC half wave voltage (Vπ) of less than 3.0 V, or a modulation efficiency (Vπ•L) of 3.3 V•cm. The device shows a 3 dB bandwidth of roughly 30 GHz. Notably, the device demonstrates a power extinction ratio over 45 dB at each output port without the use of cascaded directional couplers or additional control circuitry; roughly 31 times better than previously reported devices. Paired with a balanced photo-diode receiver, this modulator can be used in various photonic communication systems. Such a detecting scheme is compatible with complex modulation formats such as differential phase shift keying and differential quadrature phase shift keying, where a dualoutput, ultra-high extinction device is fundamentally paramount to low-noise operation of the system.

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“…Optical beamforming addresses many of these concerns by moving the beamforming process to a free-space optical processor, in which an optical lens performs an analog Fourier transform of a scaled version of the RF phase front incident upon the antenna array [12]- [16]. This operation is performed at the speed of light, with detection performed by either a charge-coupled device (CCD) camera, or, in the presence of a coherent optical local oscillator, by photodetectors, which may be high-speed for high signal data rates [17], [18]. Previous investigations have demonstrated instantaneous angle-angle [12], [15], [16] and angle-frequency [19] source localization, while three-dimensional imaging has, to this point, been implemented through complex algebraic reconstruction algorithms and a tomographic approach [20], [21], requiring a library of resolvable source coordinates in angle-angle-frequency space, with size determined by the product of the field-of-view (FOV) and operating bandwidth divided by spatio-temporal resolution [22].…”

mentioning

confidence: 99%

“…The need for fast and accurate channel identification and source location has grown due to the opening of mmW spectrum for 5G ultrawideband (5G UWB) communication networks, which has grown to include wideband imaging systems. The approach detailed in [19] presents an instantaneous identification of source azimuth and frequency, while the preservation of a linear phase front allows for the application of heterodyne signal recovery techniques due to the confinement of RF power to one optical beam for each source [18].…”

mentioning

confidence: 99%

Microwave Photonic Direction-Finding Spectrometer

Beardell

Ryan

Schneider

et al. 2023

J. Lightwave Technol.

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In this paper, we propose an architecture wherein the radio-frequency (RF) field at the antenna array is upconverted to an optical carrier and passed through an array of optical fibers, after which an analog Fourier transform is taken in a free-space optical processor. Through the use of multiple temporal dispersion projections, implemented through varied-length optical fiber segments, the locations of RF sources in three-dimensional space spanning angle-of-arrival (AoA) and instantaneous frequency may be determined on a millisecond time scale using commercial computing hardware after detection by a charge-coupled device (CCD) camera. We present a mathematical formulation of the problem, followed by simulated and experimental results showing three-dimensional spatial-spectral localization through the solution to a system of equations brought forth through the use of Fourier optics to process the RF field. I. INTRODUCTIONP ROVISIONS for future wireless networks are driven by the need for ever-increasing data rates [1]-[3]. To address this, emerging wireless networks are increasing their carrier frequencies to the millimeter-wave (mmW) regime, where the hardware requirements in terms of cost, size, weight and power (C-SWAP) to perform the digital beam-forming process become quite demanding. Digital beamforming, along with digital beamspace processing techniques such as BLAST and MUSIC, allow for angle-of-arrival (AoA) and frequency determination and are extensively implemented in the field [4]-[6]. However, digital beamforming techniques generally rely upon recording of high-frequency signals, implemented through high-speed analog-to-digital converters (ADCs). To handle today's broadband data streams, these ADCs have become quite expensive and power-hungry; techniques such as frontend downconversion reduce the required sample rates while introducing local oscillator (LO) synchronization error [7]. Further, performing direction-finding and frequency measurement requires either matrix inversions or fast Fourier transforms, with both operations becoming increasingly complex as array size increases. Additional techniques such as RF lenses alleviate the computational cost of the beamforming step, but are bulky due to their necessary RF wavelength-scale footprint, and can be lossy depending upon the material system [8], [9]. Array windowing or subarray processing offers a reduction in

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RF-Photonic Spatial-Spectral Channelizing Receiver

Cited by 7 publications

References 22 publications

Deep learning-based image-like channelization for broadband receiver

Deep learning-based image-like channelization for broadband receiver

Ultra-High Extinction Dual-Output Thin-Film Lithium Niobate Intensity Modulator

Microwave Photonic Direction-Finding Spectrometer

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