Two-one-way laser Doppler approach for inter-satellite velocity measurement

Xu, Mengmeng; Sun, Jialin; Zhang, Bo; Zhang, Guo; Lao, Chenzhe; He, Hongyu; Mao, Ao

doi:10.1364/oe.27.001353

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…The present work will provide a new sensing technology and find a novel application for lanthanide luminescent materials. Compared to conventional optical speed sensing methods, such as reflection counting, Doppler velocimetry, or camera-based image velocimetry, − the present speed sensing method exhibits potential advantages of remote-type detection, high sensitivity, and high spatial resolution. The following results would indicate broad potential applications for the proposed velocimetric strategy in the fields of vehicle monitoring to blood flow velocity labeling.…”

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confidence: 99%

Perceiving Linear-Velocity by Multiphoton Upconversion

Huang

Lin

et al. 2019

ACS Appl. Mater. Interfaces

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Up to now, the rising edge of the upconversion process does not receive due attention. Herein, a demonstration utilizing the feature of the rising edge to practically detect the linear-velocity of an object is presented. Typically, upconversion processes with different numbers of participant photons would exhibit diversity in the rising edge. On this account, when the emitter is moving, the emission intensity ratio of different multiphoton processes will vary with changing linear-velocity, which enables accurate speed detection through spectral analysis. To illustrate this principle, in this work, the modeling and numerical simulation were first performed, and then experimental demonstration was carried out in which core−shell upconversion nanocrystals were elaborately designed and fabricated as the speed sensing probe to calibrate the speed of a homemade turnplate. It is believed that the present work will exploit a novel speed sensing method and find a new application for lanthanide-doped upconversion materials.

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mentioning

confidence: 99%

Perceiving Linear-Velocity by Multiphoton Upconversion

Huang

Lin

et al. 2019

ACS Appl. Mater. Interfaces

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“…The velocity can then be obtained by measuring the frequency shift [ 10 ]. M. M. Xu [ 11 ] measured the relative velocity of two satellites using the LDV method.…”

Section: Introductionmentioning

confidence: 99%

Impact Velocity Measurement Method Based on Trajectory and Impact Position

Liu

Wang

2022

Sensors

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The impact velocity of falling weight is an instantaneous quantity. Currently, measurement of impact velocity relies on high-speed sensors to capture the moment of impact. The trajectory-position measurement method (TPMM) is proposed in this study. The main steps are: (1) The impact position is used to capture the impact time. It can be measured when the falling weight is stationary. (2) The discrete falling trajectory is measured and a new empirical regression algorithm is proposed to fit the expression of falling trajectory. (3) The impact velocity is obtained by taking the impact time into the first derivative of the trajectory expression. For 1–5 m falling height, the simulation shows that the relative maximum error and relative expanded uncertainty of the proposed method are less than 0.481% and 0.442%, respectively. Then, the actual experiment is carried out to verify the simulation. The proposed method has high accuracy and low uncertainty. The reasons are: (1) Only a low-speed displacement sensor is need for impact velocity measurement. It is easier to improve accuracy and stability of a low-speed sensor. (2) The empirical regression algorithm can improve the stability of falling trajectory fitting.

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