Optical Technique, Volume. 49, Issue 5, 573(2023)

A novel speed retrieval algorithm in spatial filtering velocimeter and Monte Carlo simulation

JIA Xiaodong, GUO Hui, and CHENG Xiangping
Author Affiliations
  • [in Chinese]
  • show less

    To solve the problems of improving retrieved speed accuracy and optimal parameters design in spatial filtering velocimeter (SFV), a weighted average of logarithm of speed retrieval algorithm is researched based on computer simulation. With well designed simulation experiments, the moving targets’ images by a linear COMS image sensor and retrieved speed accuracy are both evaluated. Within the targets’ speed range of 0.1~100m/s, the designed SFV could retrieve targets’ speed correctly. The relative mean speed and standard deviation errors are -0.250% and 0.623%, respectively. The weighted average of logarithm speed retrieval algorithm with different power thresholds is researched as well based on the computer Monte Carlo simulations. The simulation results show that a suitable power threshold in SFV would improve the retrieved speed accuracy. Take a moving target’s speed of 100m/s for example, the retrieved speed accuracy improves from 1.065m/s to 0.381m/s (or relative speed error improves from 1.065% to 0.381%) with the power threshold decreases from 0 dB to -5dB.

    Tools

    Get Citation

    Copy Citation Text

    JIA Xiaodong, GUO Hui, CHENG Xiangping. A novel speed retrieval algorithm in spatial filtering velocimeter and Monte Carlo simulation[J]. Optical Technique, 2023, 49(5): 573

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Sep. 15, 2022

    Accepted: --

    Published Online: Jan. 4, 2024

    The Author Email:

    DOI:

    Topics