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

被引：156
|
作者：
Zhang, Xiaosheng [1 ]
Pouls, Jazz [1 ]
Wu, Ming C. [1 ]
机构：
[1] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
来源：
OPTICS EXPRESS | 2019年 / 27卷 / 07期
关键词：
MODULATION; PRECISION;
D O I：
10.1364/OE.27.009965
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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. (c) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
引用
收藏
页码：9965 / 9974
页数：10
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