Abstract

Frequency modulation continuous wave (FMCW) light detection and ranging (LiDAR) 3D imaging system may suffer from time-varying vibrations which will affect the accuracy of ranging and imaging of a target. The system uses only a single-period FMCW LiDAR signal to measure the range of each spot; however, traditional methods may not work well to compensate for the time-varying vibrations in a single period because they generally assume the vibration velocity is constant. To solve this problem, we propose a time-varying vibration compensation method based on segmented interference. We first derive the impact of time-varying vibrations on the range measurement of the FMCW LiDAR system, in which we divide the time-varying vibration errors into primary errors caused by the vibrations with a constant velocity and quadratic errors. Second, we estimate the coefficients of quadratic vibration errors by using a segmented interference method and build a quadratic compensation filter to eliminate the quadratic vibration errors from the original signals. Finally, we use the symmetrical relations of signals in a triangular FMCW period to estimate the vibration velocity and establish a primary compensation filter to eliminate the primary vibration errors. Numerical tests verify the applicability of this method in eliminating time-varying vibration errors with only a one-period triangular FMCW signal and its superiority over traditional methods.

Highlights

  • Light Detection and Ranging (LiDAR) systems provide a fast and accurate technology for three-dimensional (3D) spatial data acquisition

  • LiDAR signals and proposed a time-varying vibration compensation method based on segmented interference

  • We established a time-varying vibration model which is an extension of the constant vibration model used in the traditional vibration compensation method

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Summary

Introduction

Light Detection and Ranging (LiDAR) systems provide a fast and accurate technology for three-dimensional (3D) spatial data acquisition. LiDAR has higher resolution, better concealment and stronger anti-interference ability [1]. It has the potential for collecting a massive amount of data and is easy to update with low personal requirements. FMCW LiDAR has high ranging precision with low power cost because of the coherent detection of FMCW, and it has broad applications in ranging and 3D imaging. The LiDAR platform usually suffers from vibration during the whole observation process in which the local vibrations in a single period can be approximated as a movement containing the accelerating or decelerating movement in one direction. We shortly name the local vibration movement

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