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An Active Multi-Power Emission Strategy for Time Walk Error Compensation in SiPM-Based d-ToF LiDAR

  • Pengfei Hu
  • , Youze Xin
  • , Xuhu Wang
  • , Yiyun Xie
  • , Han Wang
  • , Chi Wang
  • , Bing Zhang
  • , Congzhen Hu
  • , Li Geng
  • Shaanxi Key Laboratory for Electronic Devices and Advanced Chips
  • Xi'an Jiaotong University

Research output: Contribution to journalArticlepeer-review

Abstract

Time walk error significantly impacts the accuracy of distance measurements in direct time-of-flight (d-ToF) LiDAR systems. A system-level d-ToF model that comprehensively accounts for the mechanisms is established in this paper. Then, an active multi-power excitation (AMPE) strategy is proposed and verified in a silicon photomultiplier (SiPM)-based d-ToF LiDAR. Compared with conventional passive correction methods, AMPE actively injects known excitation constraints into the measurement process. It exploits the relationship between emission energy and threshold-crossing time by transmitting pulses with controlled power using a customized compensation algorithm. The core strength of this method is that it transforms the correction problem into a constrained estimation problem governed by emission control, thereby avoiding complex receiver-side timing circuitry and extensive offline calibration. A prototyped LiDAR system is developed, and experimental results demonstrate that more than a 72% reduction in walk error induced depth distortion is achieved with only 10 measurements per range point, enabling reliable 200 m operation under 60 klux ambient illumination. The proposed method establishes a novel time walk error compensation strategy, enhancing the energy efficiency and wide dynamic range of d-ToF LiDAR applications.

Original languageEnglish
JournalIEEE Transactions on Instrumentation and Measurement
DOIs
StateAccepted/In press - 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • 3-D imaging
  • Direct time of flight (d-ToF)
  • light detection and ranging (LiDAR)
  • time walk error

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