A dual comb ranging processing method for the target under vibration

To reduce the measurement error in the vibration scenario, this paper proposes a cooperative post-processing method based on the measured overload information and Kalman filter. In order to make the equation of motion more accurately, the target measures and shares its overload information to the source. The source then calculates the overall overload information and perform Kalman filter to the real-time measured data. The performance evaluation is carried out through a physical measurement test and a post-processing simulation. The real-time measuring data is updated at 200Hz while the vibration frequency is about 1Hz. The simulation results show that the proposed method can reduce the measurement error by about 9.9 times and is insensitive to the common time synchronization error and overload measurement error.