True random coded photon counting Lidar
1 Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
2 University of Chinese Academy of Sci-ences, Beijing 100049, China
3 Key Laboratory of Science and Technology on Space Optoelectronic Precision Measurement, Chinese Academy of Sciences, Chengdu 610209, China
Figures & Tables
Fig. 1. (a) Pseudo-random sequence and (b) true random sequence.
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Fig. 2. True random coded photon counting Lidar system.
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Fig. 3. Normalized auto-correlation function of the true random sequence
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Fig. 4. Normalized auto-correlation range images with two different echo photons number for the true random coded method and the pseudo-random coded method.
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Fig. 5. The detection probability statistical results of the true random coded method and the pseudo-random coded method at different mean echo photons number.
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Fig. 6. Normalized cross-correlation range images for the true random sequence (a) and the sparse pseudo-random sequence (b).
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Fig. 7. (a) The picture of the model car and (b) three-dimensional scanning imaging of the model car.
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Table1. Main parameters of the Lidar system.
| Parameter | Value | | Dead time | 35 ns | | Pulse width | 4 ns | | Noise count | 1 Mcps | | Photon detection efficiency | 2% | | Time resolution of TCSPC module | 64 ps |
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Table2. Key parameters for the depth profile measurement.
| Parameter | Value | | Power | 30 μW | | Pixel dwell time | 200 μs | | Pulse repetition frequency | 5 kHz | | Scan dimensions width×height) | 0.6 m×0.5 m | | Resolution of scanned image (pixels) | 300×250 |
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Bo Liu, Yang Yu, Zhen Chen, Weiqiang Han. True random coded photon counting Lidar[J]. Opto-Electronic Advances, 2020, 3(2): 02190044.
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