{"title":"Walk Error Compensation of ToF LiDAR using Zero Crossing Discriminator with Auto Gain Control Amplifier","authors":"Young-Hwan. Choi, Tae-Yong Kuc","doi":"10.23919/ICCAS55662.2022.10003943","DOIUrl":null,"url":null,"abstract":"This paper proposes a walk error compensation method based on AGC (Auto Gain Control) amplifier and ZCD (Zero Crossing Discriminator). A walk error, often referred to as a time walk, is one of the errors that occurs in the distance measurement results of ToF LiDAR. Consistent thresholds cannot be used because the amplitude of the received signal varies depending on the distance from the target object or the optical characteristics such as the light reflectance of the target surface and the angle of incidence. This amplitude change creates an error at the time when the signal is recognized as an active signal. In this paper, to compensate for walk error, peak timing was detected by measuring peak amplitude of the input signal, calculating a suitable gain, and differentiating a variably amplified signal. The results were confirmed through simulation and actual experiment. In the range of APD output signal peak amplitude 1 uA to 40 uA, the standard deviation of walk error was reduced to about 4.2% compared to conventional leading edge discriminator methods, and the standard deviation was reduced to about 65% compared to ZCD without AGC amplifier.","PeriodicalId":129856,"journal":{"name":"2022 22nd International Conference on Control, Automation and Systems (ICCAS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 22nd International Conference on Control, Automation and Systems (ICCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICCAS55662.2022.10003943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a walk error compensation method based on AGC (Auto Gain Control) amplifier and ZCD (Zero Crossing Discriminator). A walk error, often referred to as a time walk, is one of the errors that occurs in the distance measurement results of ToF LiDAR. Consistent thresholds cannot be used because the amplitude of the received signal varies depending on the distance from the target object or the optical characteristics such as the light reflectance of the target surface and the angle of incidence. This amplitude change creates an error at the time when the signal is recognized as an active signal. In this paper, to compensate for walk error, peak timing was detected by measuring peak amplitude of the input signal, calculating a suitable gain, and differentiating a variably amplified signal. The results were confirmed through simulation and actual experiment. In the range of APD output signal peak amplitude 1 uA to 40 uA, the standard deviation of walk error was reduced to about 4.2% compared to conventional leading edge discriminator methods, and the standard deviation was reduced to about 65% compared to ZCD without AGC amplifier.
提出了一种基于AGC(自动增益控制)放大器和ZCD(过零鉴别器)的行走误差补偿方法。行走误差通常被称为时间行走误差,是ToF激光雷达距离测量结果中出现的误差之一。一致阈值不能使用,因为接收信号的幅度取决于与目标物体的距离或目标表面的光反射率和入射角等光学特性。当信号被识别为有源信号时,这种幅度变化会产生误差。为了补偿行走误差,本文通过测量输入信号的峰值幅度,计算合适的增益,并对可变放大的信号进行微分来检测峰值时序。通过仿真和实际实验验证了研究结果。在APD输出信号峰值幅值为1 uA ~ 40 uA的范围内,与传统的前沿鉴别器方法相比,行走误差的标准差减小到约4.2%,与不加AGC放大器的ZCD方法相比,标准差减小到约65%。