High-speed photon-counting laser ranging for broad range of distances

Du, Bingcheng; Pang, Chengkai; Wu, Di; Li, Zhaohui; Peng, Huan; Tao, Yuliang; Wu, E; Wu, Guang

doi:10.1038/s41598-018-22675-1

Cited by 64 publications

(32 citation statements)

References 18 publications

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“…However, many relevant quantum systems, including trapped ions [12] and color centers in diamond [13], operate in the visible spectrum, which makes efficient, low-noise SPADs for visible wavelengths highly desirable. Such devices would also find numerous applications in other important technologies, including LIDAR [14], non-line-of-sight imaging [15], and fluorescence medical imaging [16].…”

mentioning

confidence: 99%

Simulation of Silicon Waveguide Single-Photon Avalanche Detectors for Integrated Quantum Photonics

Yanikgonul

Leong

Ong

et al. 2020

IEEE J. Select. Topics Quantum Electron.

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Integrated quantum photonics, which allows for the development and implementation of chip-scale devices, is recognized as a key enabling technology on the road towards scalable quantum networking schemes. However, many state-of-the-art integrated quantum photonics demonstrations still require the coupling of light to external photodetectors. On-chip silicon single-photon avalanche diodes (SPADs) provide a viable solution as they can be seamlessly integrated with photonic components, and operated with high efficiencies and low dark counts at temperatures achievable with thermoelectric cooling. Moreover, they are useful in applications such as LIDAR and low-light imaging. In this paper, we report the design and simulation of silicon waveguide-based SPADs on a silicon-on-insulator platform for visible wavelengths, focusing on two device families with different doping configurations: p-n + and p-i-n + . We calculate the photon detection efficiency (PDE) and timing jitter at an input wavelength of 640 nm by simulating the avalanche process using a 2D Monte Carlo method, as well as the dark count rate (DCR) at 243 K and 300 K. For our simulated parameters, the optimal p-i-n + SPADs show the best device performance, with a saturated PDE of 52.4 ± 0.6% at a reverse bias voltage of 31.5 V, full-width-half-max (FWHM) timing jitter of 10 ps, and a DCR of < 5 counts per second at 243 K.

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mentioning

confidence: 99%

Simulation of Silicon Waveguide Single-Photon Avalanche Detectors for Integrated Quantum Photonics

Yanikgonul

Leong

Ong

et al. 2020

IEEE J. Select. Topics Quantum Electron.

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“…The problem becomes even more acute in the presence of fog, which is a major concern for the next generation of automated cars. It has been demonstrated that it is technically possible to detect and analyze fog patches over long distances, provided that the laser power is sufficient to ensure a nonzero probability of photon reflection and a long enough acquisition time (62,63). In the automotive context, where the acquisition time is intrinsically limited by the vehicle displacement velocity, more robust and computationally efficient strategies have been recently proposed (51,64), and it is clear that future imaging systems will incorporate computational models for both the propagation physics of the medium and physical properties of the detector.…”

Section: Enhanced Spad Arrays For Imaging In Scattering Mediamentioning

confidence: 99%

Quantum-inspired computational imaging

Altmann

McLaughlin

Padgett

et al. 2018

Science

164

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Computational imaging combines measurement and computational methods with the aim of forming images even when the measurement conditions are weak, few in number, or highly indirect. The recent surge in quantum-inspired imaging sensors, together with a new wave of algorithms allowing on-chip, scalable and robust data processing, has induced an increase of activity with notable results in the domain of low-light flux imaging and sensing. We provide an overview of the major challenges encountered in low-illumination (e.g., ultrafast) imaging and how these problems have recently been addressed for imaging applications in extreme conditions. These methods provide examples of the future imaging solutions to be developed, for which the best results are expected to arise from an efficient codesign of the sensors and data analysis tools.

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“…In other words, it is difficult to employ for long-range and high-speed moving target detection. Du [9] and Liang [10] demonstrated a high-speed photon-counting laser ranging system with laser pulses of multiple repetition rates to extend the unambiguous range. This is an effective method to realize long-range detection.…”

Section: Introductionmentioning

confidence: 99%

A Macro-Pulse Photon Counting Lidar for Long-Range High-Speed Moving Target Detection

Liu

Chen

et al. 2020

Sensors

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A macro-pulse photon counting Lidar is described in this paper, which was designed to implement long-range and high-speed moving target detection. The ToF extraction method for the macro-pulse photon counting Lidar system is proposed. The performance of the macro pulse method and the traditional pulse accumulation method were compared in theory and simulation experiments. The results showed that the performance of the macro-pulse method was obviously better than that of the pulse accumulation method. At the same time, a laboratory verification platform for long range and high-speed moving targets was built. The experimental results were highly consistent with the theoretical and simulation results. This proved that the macro pulse photon counting Lidar is an effective method to measure long range high-speed moving targets.

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High-speed photon-counting laser ranging for broad range of distances

Cited by 64 publications

References 18 publications

Simulation of Silicon Waveguide Single-Photon Avalanche Detectors for Integrated Quantum Photonics

Simulation of Silicon Waveguide Single-Photon Avalanche Detectors for Integrated Quantum Photonics

Quantum-inspired computational imaging

A Macro-Pulse Photon Counting Lidar for Long-Range High-Speed Moving Target Detection

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