TY - GEN
T1 - Research on High Precision Distance Measurement of Femtosecond Laser Based on Discrete Kalman Filter
AU - Zhang, Zeming
AU - Jiao, Tianliang
AU - Zhang, Sheng
AU - Xia, Yuanqin
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The development of dual femtosecond laser absolute distance measurement technology, based on the time-of-flight method, presents a novel approach for applications requiring extensive range, precision, resolution, and update rate. However, the introduction of Gaussian white noise during the measurement process may lead to a reduction in distance measurement accuracy. This study proposes a method employing discrete Kalman filtering technology to enhance the precision of dual femtosecond laser absolute ranging by obtaining real-time estimation values of velocity information for dynamic targets. When the target is in motion, the Kalman filtering technique can concurrently ascertain the estimated velocity information of the moving target. The standard deviation of the estimated velocity for a uniformly moving target in a stable state is approximately 4 μ m s-1. Additionally, when the target undergoes sinusoidal vibration, the Kalman filtering technique effectively tracks the measurement results and significantly enhances measurement accuracy.
AB - The development of dual femtosecond laser absolute distance measurement technology, based on the time-of-flight method, presents a novel approach for applications requiring extensive range, precision, resolution, and update rate. However, the introduction of Gaussian white noise during the measurement process may lead to a reduction in distance measurement accuracy. This study proposes a method employing discrete Kalman filtering technology to enhance the precision of dual femtosecond laser absolute ranging by obtaining real-time estimation values of velocity information for dynamic targets. When the target is in motion, the Kalman filtering technique can concurrently ascertain the estimated velocity information of the moving target. The standard deviation of the estimated velocity for a uniformly moving target in a stable state is approximately 4 μ m s-1. Additionally, when the target undergoes sinusoidal vibration, the Kalman filtering technique effectively tracks the measurement results and significantly enhances measurement accuracy.
KW - Femtosecond laser
KW - Kalman filtering
KW - laser rangefinder
KW - speed measurement
KW - statistical filtering
UR - https://www.scopus.com/pages/publications/85197890852
U2 - 10.1109/ICAACE61206.2024.10548307
DO - 10.1109/ICAACE61206.2024.10548307
M3 - 会议稿件
AN - SCOPUS:85197890852
T3 - 2024 7th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2024
SP - 1143
EP - 1147
BT - 2024 7th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2024
Y2 - 1 March 2024 through 3 March 2024
ER -