Laser frequency sweep linearization by iterative learning pre-distortion for FMCW LiDAR | Zendy

Xiaosheng Zhang | Zendy; Jazz Pouls | Zendy; Ming C. Wu | Zendy

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Laser frequency sweep linearization by iterative learning pre-distortion for FMCW LiDAR

Author(s) -

Xiaosheng Zhang,

Jazz Pouls,

Ming C. Wu

Publication year - 2019

Publication title -

optics express

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.394

H-Index - 271

ISSN - 1094-4087

DOI - 10.1364/oe.27.009965

Subject(s) - lidar , optics , distortion (music) , ranging , laser , linearization , sweep frequency response analysis , waveform , continuous wave , residual , frequency modulation , computer science , acoustics , nonlinear system , physics , telecommunications , algorithm , bandwidth (computing) , radar , amplifier , quantum mechanics

We report on a laser frequency sweep linearization method by iterative learning pre-distortion for frequency-modulated continuous-wave (FMCW) light detection and ranging (LiDAR) systems. A pre-distorted laser drive voltage waveform that results in a linear frequency sweep is obtained by an iterative learning controller, and then applied to the FMCW LiDAR system. We have also derived a fundamental figure of merit for the maximum residual nonlinearity needed to achieve the transform-limited range resolution. This method is experimentally tested using a commercial vertical cavity surface-emitting laser (VCSEL) and a distributed feedback (DFB) laser, achieving less than 0.005% relative residual nonlinearity of frequency sweep. With the proposed method, high-performance FMCW LiDAR systems can be realized without expensive linear lasers, complex linearization setups, or heavy post-processing.

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