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Proceedings Paper

Optimal performance receiving ranging system model and realization using TCSPC technique
Author(s): Shanshan Shen; Qian Chen; Weiji He; Pin Zhou; Guohua Gu
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Paper Abstract

In this paper, the short dead time detection probability is introduced to the linear SNR model of fixed frequency multipulse accumulation detection system. Monte Carlo simulation is consistent with the theory simulation, which proves that with the increased laser power, the SNR first gets larger quickly and then becomes stable. Then the range standard deviation model is settled and firstly shows that larger dead time brings better range precision, which is consistent with the B. I. Cantor’s research. Secondly, Monte Carlo simulation and theory simulation both indicate that with the increased laser power, range precision first enhances and then becomes stable. Experimental results show that based on 500000c/s high background noise, the maximum of SNR can be obtained with emitting laser power at about 400uw at 50ms integrated time. Range precision reaches the optimal level at 6mm. The experimental data show a precision which is always worse than the Monte Carlo simulated results. This arises from the fact that the histograms’ jitter is not taking into account and introduced during simulation, whereas the experimental system has approximately 500ps' jitter. The system jitter causes larger time stamp value fluctuation, leading to worse range precision. To sum up, theory and experiment all prove that the optimal performance receiving of SNR and precision is achieved on this multi-pulse accumulation detection system.

Paper Details

Date Published: 8 October 2015
PDF: 6 pages
Proc. SPIE 9677, AOPC 2015: Optical Test, Measurement, and Equipment, 96770Z (8 October 2015); doi: 10.1117/12.2199318
Show Author Affiliations
Shanshan Shen, Nanjing Univ. of Science and Technology (China)
Jiang Su SinoPetro SuperbSkill Machine Co. Ltd. (China)
Qian Chen, Nanjing Univ. of Science and Technology (China)
Weiji He, Nanjing Univ. of Science and Technology (China)
Pin Zhou, Jiang Su SinoPetro SuperbSkill Machine Co. Ltd. (China)
Guohua Gu, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9677:
AOPC 2015: Optical Test, Measurement, and Equipment
Sen Han; Jonathan D. Ellis; Junpeng Guo; Yongcai Guo, Editor(s)

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