Chen Honggang, Zhao Le, Hu Leilei, Chen Long, Zhang Bo, Luo Yong, Liang Xuerui, Gan Linfei
Appl Opt. 2024 Feb 20;63(6):1538-1545. doi: 10.1364/AO.515530.
Frequency-modulated continuous-wave (FMCW) laser ranging technology is an important development direction of light detection and ranging (LiDAR) for the future. It has the advantages of high ranging accuracy, high resolution, wide range, and no ranging blind zone. A distributed feedback laser can be used as a high-quality light source in FMCW laser ranging systems because of its wide frequency modulation range, simple frequency modulation mode, and small package. Aiming at the nonlinear problem of the laser in the frequency modulation process, we present a novel, to our knowledge, predistortion algorithm based on interpolation linear fitting to enhance the linearity of the FMCW laser for LiDAR systems. The sweeping frequency curve of the laser is obtained using the Hilbert transform, and then the sweeping frequency curve is segmented and linearly fitted to calculate the interpolated driving current signals corresponding to linear frequency changes. Using this method, we achieved a nonlinearity error lower than 1-7 for the swept-frequency signal and demonstrated that the ranging error is less than ±5 at a distance of 100 m in the FMCW system. In addition, we also demonstrated a 3D static object point cloud with high imaging quality. Compared with the iterative predistortion algorithm based on the function fitting, this method avoids fitting errors at the inflection points of the triangular swept-frequency signal and the complexity of multiple iterative calculations. It enables rapid generation of pre-distorted swept-frequency signals, making it particularly suitable for real-time applications of automotive LiDAR systems.
调频连续波(FMCW)激光测距技术是未来光探测与测距(LiDAR)的一个重要发展方向。它具有测距精度高、分辨率高、量程宽和无测距盲区等优点。分布反馈激光器因其调频范围宽、调频方式简单、封装小,可作为FMCW激光测距系统中的优质光源。针对激光调频过程中的非线性问题,我们提出了一种据我们所知的基于插值线性拟合的新型预失真算法,以提高用于LiDAR系统的FMCW激光的线性度。利用希尔伯特变换获得激光的扫频曲线,然后对扫频曲线进行分段并线性拟合,以计算与线性频率变化对应的插值驱动电流信号。使用该方法,我们实现了扫频信号的非线性误差低于1-7,并证明在FMCW系统中距离为100 m时测距误差小于±5。此外,我们还展示了具有高成像质量的三维静态物体点云。与基于函数拟合的迭代预失真算法相比,该方法避免了三角扫频信号拐点处的拟合误差以及多次迭代计算的复杂性。它能够快速生成预失真的扫频信号,使其特别适用于汽车LiDAR系统的实时应用。