Abstract:The pulse laser ranging technology based on time of flight （TOF） is widely used for detecting non-cooperative targets due to its narrow pulse width and high peak power. In the conventional ranging system based on threshold discrimination, the measurement accuracy is limited by the forward and backward walking error of the echo signal, waveform jitter, clock drift and system delay, which will result in power fluctuation of the echo signal, measurement data exception and error. To solve these problems, in this paper, a ranging accuracy compensation based on TOF is proposed by using Bi-directional convolutional neural network method. It enables anomaly detection for the pulse width with the Bi-directional long short-term memory network using multi-layer constraint information, and adaptive accuracy compensation through one dimensional convolutional neural network regression analysis. In the experimental demonstration, the ranging error is between 0.05 to 0.33m for the measurement range from 4m to 110m. Compared to the polynomial fitting method, the measurement accuracy is improved by 72.5%, which verifies the effectiveness of the proposed method.
