Guomeng Zuo , Qijie Xie , Quanxin Na , Xiaoqi Zhu , Huabei Liu , Fang Zhao , Yingbin Xu , Dongwei Zhuang , Hao Zhang , Lei Wang , Junfeng Song , Liyang Shao
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引用次数: 0
Abstract
The high frame rates and dense point clouds required by frequency-modulated continuous wave (FMCW) LiDAR necessitate high-repetition-rate laser frequency sweeps. However, limited research has addressed the predistortion of frequency-swept lasers (FSL) operating at high repetition rates. Here, we propose a Fourier-domain-based iterative predistortion (IPD-FD) method to achieve precise linearization of the swept laser frequency. This approach optimizes a sequence of Fourier series to generate the desired voltage waveform. To mitigate the end effects during instantaneous frequency extraction, a moving average technique is employed, significantly enhancing the stability of iterative convergence. We evaluated the predistortion method across varying repetition rates and sweep bandwidths, demonstrating that the mean 1-r2 remains at the order of 10−7. Compared to temporal correction methods focused on specific regions of interest (ROI), the proposed method offers superior waveform matching across both ROI and non-ROI regions, thereby improving the overall stability of predistortion. Finally, ranging experiments conducted over a distance of 174 m yielded a precision of 4.8 mm. These results highlight the effectiveness of the IPD-FD method in linearizing FSL at high repetition rates, paving the way for its application in FMCW LiDAR systems requiring dense point clouds and high-resolution performance.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.