Adaptive Suppression Method of LiDAR Background Noise Based on Threshold Detection

Background radiation in the LiDAR detection field of view is complex and variable, background noise generated can easily cause false alarms receiver, which affects effective system. Through analysis influence on performance, an adaptive suppression method proposed. This realizes rapid instantaneous through threshold adjustment current steering architecture with a back-end digital-to-analog converter (DAC) correction based principle constant alarm rate (CFAR) control. Aiming at problem accurate quantification very short time, dynamic comparator used to replace traditional continuous comparator. While detecting number pulses, measurement pulse duration realized, improves accuracy short-time detection. In order verify actual effect method, experiments were carried out team’s self-developed LiDAR. The experimental results show that measured ratio mode by using this lowest. Even 12 a.m., point cloud obtained 0.012%, compared 0.08% mode, proves has good ability suppress noise. proportion reduction more than 80% mode. It achieves hardware each detection, be completed within single period Therefore, it great advantages real-time software processing suitable for application environment.