Abstract

A macro-pulse photon counting Lidar is described in this paper, which was designed to implement long-range and high-speed moving target detection. The ToF extraction method for the macro-pulse photon counting Lidar system is proposed. The performance of the macro pulse method and the traditional pulse accumulation method were compared in theory and simulation experiments. The results showed that the performance of the macro-pulse method was obviously better than that of the pulse accumulation method. At the same time, a laboratory verification platform for long range and high-speed moving targets was built. The experimental results were highly consistent with the theoretical and simulation results. This proved that the macro pulse photon counting Lidar is an effective method to measure long range high-speed moving targets.

Highlights

  • The photon counting Lidar system is considered to be a promising sensor for ranging or imaging because of its high sensitivity, which can respond to a single photon, and provide very precise photon arrival time [1,2,3,4]

  • High-speed moving targets or Lidar platforms may cause it to be impossible to extract the range from the statistical histogram at all, since they are not clustered enough in the time domain

  • In order to compare the performance of the macro-pulse method and pulse accumulation method for moving target detection, Monte Carlo simulation experiments were completed

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Summary

Introduction

The photon counting Lidar (light detection and ranging) system is considered to be a promising sensor for ranging or imaging because of its high sensitivity, which can respond to a single photon, and provide very precise photon arrival time [1,2,3,4]. Lidar is Lidar an effective method to resolve the problem of long-range and high-speed moving target detection. In the case of a rough time bin, even though theoftarget is different, the motion of the target is target neglected because ofbecause the lowof timing resolution At this time, the position of the target can be highlighted by accumulating multiple periodic pulses. In the case of a rough time bin, even though the ToF of the target is different, the motion of the target is neglected because of the low timing resolution For the macro-pulse method, the setting of the rough time bin is related to the total sub-pulse interval, pulse width, and the velocity of the target. It should be pointed out that in order to reduce the impact of range walk error [20], the setting of time bin includes the pulse width

False Alarm Probability and Detection Probability
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Simulation
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Method

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