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双飞秒激光绝对距离测量系统具有测量精度高、更新速率快的优点,然而测量过程中的高斯白噪声会造成测距精度的降低。提出了一种基于卡尔曼滤波技术的提高双飞秒激光绝对距离测量精度的方法,即通过建立卡尔曼滤波状态空间模型得到测量结果的最优状态估计,大幅度降低随机过程引入的测量精度损失,同时可以得到速度信息估计值。实验结果表明,目标静止时卡尔曼滤波技术可将测量标准差降低近一个数量级;目标匀速运动时,稳定状态下三维状态空间模型估计的速度标准差约4μm/s。
The dual-femtosecond laser absolute distance measurement system has the advantages of high measurement accuracy and fast update rate, however Gaussian white noise in the measurement process will result in the reduction of ranging accuracy. This paper presents a method based on Kalman filter to improve the measurement accuracy of dual femtosecond laser absolute distance, which is to obtain the optimal state estimation of measurement result by establishing state space model of Kalman filter, greatly reduce the measurement accuracy loss introduced by random process, At the same time you can get the speed information estimates. The experimental results show that the Kalman filter can reduce the standard deviation of measurement by almost an order of magnitude when the target is stationary and the standard deviation of the velocity of the 3D state space model under steady state is about 4μm / s when the target is moving at a constant speed.