Li Xiaolu, Yang Bingwei, Xie Xinhao, Li Duan, Xu Lijun
School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China.
Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing 100191, China.
Sensors (Basel). 2018 Apr 10;18(4):1156. doi: 10.3390/s18041156.
Time of flight (TOF) based light detection and ranging (LiDAR) is a technology for calculating distance between start/stop signals of time of flight. In lab-built LiDAR, two ranging systems for measuring flying time between start/stop signals include time-to-digital converter (TDC) that counts time between trigger signals and analog-to-digital converter (ADC) that processes the sampled start/stop pulses waveform for time estimation. We study the influence of waveform characteristics on range accuracy and precision of two kinds of ranging system. Comparing waveform based ranging (WR) with analog discrete return system based ranging (AR), a peak detection method (WR-PK) shows the best ranging performance because of less execution time, high ranging accuracy, and stable precision. Based on a novel statistic mathematical method maximal information coefficient (MIC), WR-PK precision has a high linear relationship with the received pulse width standard deviation. Thus keeping the received pulse width of measuring a constant distance as stable as possible can improve ranging precision.
基于飞行时间（TOF）的光探测与测距（LiDAR）是一种用于计算飞行时间起始/停止信号之间距离的技术。在实验室构建的LiDAR中，用于测量起始/停止信号之间飞行时间的两种测距系统包括对触发信号之间的时间进行计数的时间数字转换器（TDC）和处理采样的起始/停止脉冲波形以进行时间估计的模数转换器（ADC）。我们研究了波形特性对两种测距系统的距离精度和精密度的影响。将基于波形的测距（WR）与基于模拟离散回波系统的测距（AR）进行比较，一种峰值检测方法（WR-PK）由于执行时间短、测距精度高和精度稳定而表现出最佳的测距性能。基于一种新颖的统计数学方法最大信息系数（MIC），WR-PK精度与接收脉冲宽度标准偏差具有高度线性关系。因此，尽可能保持测量恒定距离时的接收脉冲宽度稳定可以提高测距精度。
