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All-fiber fast coherent LiDAR for ranging and velocimetry based on optical comb injection
Applied Physics Letters ( IF 3.5 ) Pub Date : 2024-12-11 , DOI: 10.1063/5.0236813
Chenxiao Lin, Yifan Wang, Zimo Li, Yidong Tan

Frequency-modulated continuous-wave light detection and ranging (LiDAR) is a powerful ranging technique that offers inherent resistance to ambient light and the capability to simultaneously measure both distance and velocity. However, conventional LiDAR systems often face challenges with environmental interference and achieving a balance between demodulation complexity, data-refresh rate, and precision. Here, we introduce an all-fiber LiDAR system that utilizes optical comb injection for high-precision ranging and velocimetry. Owing to the injection locking process, the beam output from slave lasers inherits the linear and fast frequency modulation features of the injected optical comb sidebands generated through an electro-optics modulator while maintaining a stable output power with little phase noise, solving a big concern in traditional external modulation schemes. The unique dual-sideband locking and common-path design enhance stability and anti-interference ability, enabling the system to possess a high data-refresh rate of over 10 kHz and a high precision of 500 μm without complex algorithms or compensation circuits. Dynamic ranging and imaging of noncooperative targets are also demonstrated. With the advantages of fast and noncontact measurement, high precision and stability, and anti-interference ability, the proposed system has potential applications in automatic driving, machine control, and intelligent robotics.

中文翻译:


基于光梳注入的全光纤快速相干测距和测速 LiDAR



调频连续波光探测和测距 (LiDAR) 是一种强大的测距技术,它对环境光具有固有的抵抗力,并能够同时测量距离和速度。然而,传统的 LiDAR 系统经常面临环境干扰和在解调复杂性、数据刷新率和精度之间实现平衡的挑战。在这里,我们介绍了一种全光纤 LiDAR 系统,该系统利用光梳注入进行高精度测距和测速。由于注入锁定过程,从激光器输出的光束继承了通过电光调制器产生的注入光梳边带的线性和快速频率调制特性,同时保持稳定的输出功率和较小的相位噪声,解决了传统外部调制方案中的一大问题。独特的双边带锁定和共路径设计增强了稳定性和抗干扰能力,使系统无需复杂的算法或补偿电路即可拥有超过 10 kHz 的高数据刷新率和 500 μm 的高精度。还演示了非合作目标的动态测距和成像。该系统具有测量速度快、测量精度高、稳定性好、抗干扰能力强等优点,在自动驾驶、机器控制和智能机器人方面具有潜在的应用前景。
更新日期:2024-12-11
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