For the infrared laser ranging system, the measurement accuracy of the commonly used single-threshold judgment method is not high enough, and the time discrimination error is large. The pulse width correction circuit can improve the measurement accuracy, but the circuit is complicated and will introduce additional noise. Therefore, aiming at the problem of insufficient measurement accuracy of the laser ranging system, this paper establishes a pulse width correction method for the infrared laser ranging system based on the BP neural network algorithm, and verifies the ideal correction of the method to different intensity waveforms through experiments. The experimental result shows that the time difference of flight time under different laser light intensity at the same distance is reduced from 20ns to 6ns, and there’s no need to add time discrimination circuit and correction circuit. The correction value can be obtained by directly using neural network optimization, omitting the complicated middle process. It is proved that this method can be used to improve the accuracy of the laser positioning system.
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