Absolute distance measurement based on spectral interferometry using femtosecond optical frequency comb

Tang, Guoqing; Qu, Xinghua; Zhang, Fumin; Zhao, Xianyu; Peng, Bo

doi:10.1016/j.optlaseng.2019.02.013

Cited by 27 publications

(15 citation statements)

References 21 publications

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“…The current LiDAR methods mainly include the time-of-flight (TOF) method, , phase method, femtosecond optical frequency comb (OFC) method , and FMCW method. , Among them, the TOF method measures the time interval between the emitted and echo laser pulses, which is limited by the response time of the detector, and the measurement accuracy is generally submillimeter . The phase method obtains the distance value by the phase modulation of the emitted laser and solving the phase difference between the return light and the emitted light, which requires high quality of the return light.…”

Section: Introductionmentioning

confidence: 99%

“…It has been widely used in large absolute distance measurement 7−9 and has become a hotspot of current research. 10,11 The current LiDAR methods mainly include the time-of-flight (TOF) method, 5,12 phase method, 13 femtosecond optical frequency comb (OFC) method 14,15 and FMCW method. 16,17 Among them, the TOF method measures the time interval between the emitted and echo laser pulses, which is limited by the response time of the detector, and the measurement accuracy is generally submillimeter.…”

Section: ■ Introductionmentioning

confidence: 99%

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High-Precision Silicon-Integrated Frequency-Modulated Continuous Wave LiDAR Calibrated Using a Microresonator

Zheng

Jia

et al. 2022

ACS Photonics

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Frequency-modulated continuous wave (FMCW) LiDAR can achieve long-distance and high-precision measurement, and the ranging error mainly comes from the nonlinearity of the laser frequency sweep. In this study, a high-precision silicon-integrated FMCW LiDAR is proposed. An equal frequency hypercube network is established by the stable free spectral range (FSR) of the microresonator to calibrate the nonlinearity of FMCW, and the distance matrix is obtained by analyzing the phase difference matrix of the FMCW signal. A standard length-based microresonator FSR calibration scheme is used to further improve the LiDAR accuracy. The feasibility of the scheme is verified by ranging and three-dimensional (3D) imaging. The ranging is carried out indoors and outdoors. In the indoor environment of a distance of 4 m, the minimum Allan deviation is 65 nm at 10.24 s. In the outdoor environment, the minimum Allan deviation at 438 m is 420 nm at 10.24 s. The 3D imaging can reconstruct the spatial point cloud of the objects and identify the spatial targets. This scheme has good on-chip integration capability and can be further combined with lens-assisted beam steering and optical phased array, laying the foundation for compact, large bandwidth, long-range, and high-precision LiDAR.

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Section: Introductionmentioning

confidence: 99%

Section: ■ Introductionmentioning

confidence: 99%

High-Precision Silicon-Integrated Frequency-Modulated Continuous Wave LiDAR Calibrated Using a Microresonator

Zheng

Jia

et al. 2022

ACS Photonics

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“…The dispersive interferometry using OFC is typically implemented by a Michelson interferometer-type configuration, whereby the optical path difference (OPD) between the reference and measurement arms can be accurately determined by analyzing the interference spectrum with a proper data processing algorithm [45]. In this subsection, the conventional data processing algorithm is re-visited according to literature [47,50,51], based on which an improved data processing algorithm, namely the spectral fringe algorithm, is proposed.…”

Section: Proposed Algorithm 1: the Spectral Fringe Algorithmmentioning

confidence: 99%

“…In 2012, van den Berg et al made refinement by combining dispersive and homodyne interferometry based on a virtually imaged phase array (VIPA) and a grating in an optical setup, achieving a non-ambiguous range of 15 cm with an accuracy of λ/30, in which the homodyne interferometry is just an auxiliary and cannot output the target distance independently and the phase is obtained by the cosine fit rather than the wrapped phase [46]. In 2019, Tang et al proposed a non-filtered and differential envelope phase demodulation method based on dispersive interferometry, where the phase value was obtained by taking the arccosine of a demodulated spectral interference signal [47]. However, the measurement accuracy is influenced by that of the demodulation process for removing the upper and lower envelopes of the spectral interference signal.…”

Section: Introductionmentioning

confidence: 99%

Improved Algorithms of Data Processing for Dispersive Interferometry using Optical Frequency Comb

Liu¹,

Wu²,

Suzuki³

et al. 2023

Preprint

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Two algorithms of data processing are proposed to shorten the unmeasurable dead-zone close to the zero-position of measurement, i.e., the minimum working distance of a dispersive interferometer using optical frequency comb, which is a critical issue in millimeter-order short-range absolute distance measurement. After demonstrating the limitation of the conventional data processing algorithm, the principles of the proposed algorithms, namely the spectral fringe algorithm, and the combined algorithm that combines the spectral fringe algorithm with the excess fraction method, are presented, together with simulation results for demonstrating the possibility of the proposed algorithms for shortening the dead-zone with a high accuracy. An experimental setup of dispersive interferometer is also constructed for implementing the proposed data processing algorithms over spectral interference signals. Experimental results demonstrate that the dead-zone by the proposed algorithms can be as small as half of that by the conventional algorithm while the measurement accuracy can be further improved with the combined algorithm.

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“…In addition, the method of measurement based on mode-locked OFCs has high accuracy and excellent stability, and the traditional FFT algorithm is often used for data processing in DPI [ 17 ]. However, it will produce a larger error when the signal–noise ratio (SNR) is low, and reference [ 17 ] has confirmed the fragility of the classical FT method in the measurements of an interference signal with high phase noise. Moreover, due to the wide spectrum of OFCs, the frequency sampling interval of the spectrometer will be unequal, and new errors will be introduced.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Distance Measurement Based on Dispersive Interferometry Using Femtosecond Optical Frequency Comb

Niu

Song

Zheng

et al. 2022

Sensors

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Since the dispersive interferometry (DPI) based on optical frequency combs (OFCs) was proposed, it has been widely used in absolute distance measurements with long-distance and high precision. However, it has a serious problem for the traditional DPI based on the mode-locked OFC. The error of measurements caused by using the fast Fourier transform (FFT) algorithm to process signals cannot be overcome, which is due to the non-uniform sampling intervals in the frequency domain of spectrometers. Therefore, in this paper, we propose a new mathematical model with a simple form of OFC to simulate and analyze various properties of the OFC and the principle of DPI. Moreover, we carry out an experimental verification, in which we adopt the Lomb–Scargle algorithm to improve the accuracy of measurements of DPI. The results show that the Lomb–Scargle algorithm can effectively reduce the error caused by the resolution, and the error of absolute distance measurement is less than 12 μm in the distance of 70 m based on the mode-locked OFC.

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Absolute distance measurement based on spectral interferometry using femtosecond optical frequency comb

Cited by 27 publications

References 21 publications

High-Precision Silicon-Integrated Frequency-Modulated Continuous Wave LiDAR Calibrated Using a Microresonator

High-Precision Silicon-Integrated Frequency-Modulated Continuous Wave LiDAR Calibrated Using a Microresonator

Improved Algorithms of Data Processing for Dispersive Interferometry using Optical Frequency Comb

Improvement of Distance Measurement Based on Dispersive Interferometry Using Femtosecond Optical Frequency Comb

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