首页|量子激光雷达测距与测速的研究进展

量子激光雷达测距与测速的研究进展

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激光雷达以其优良的定向性和高分辨率,成为自动驾驶、测绘和遥感等领域的核心传感器,但是近年来传统激光雷达也面临探测灵敏度和分辨率限制等诸多挑战.本文以测距与测速性能为核心,从经典激光雷达的两类代表——脉冲激光雷达与频率调制连续波激光雷达出发,分别介绍了量子脉冲激光雷达与量子干涉式激光雷达的研究进展.通过对目前量子激光雷达研究成果的梳理,深入了解目前量子激光雷达的研究重点与难点,为未来量子激光雷达的发展提供帮助.
Research progress of quantum LiDAR with ranging and velocity measurement
Light Detection and Ranging(LiDAR)has emerged as a pivotal sensor across diverse domains such as autonomous driving,mapping,and remote sensing,owing to its exceptional orientation capabilities and high resolution.The detection mechanism of LiDAR is fundamentally categorized into non-coherent detection and coherent detection.Non-coherent detection employs the direct detection method,which involves measuring changes in the intensity of the reflected light signal to achieve detection.Pulse LiDAR,which determines the target range through pulsed time-of-flight measurements,falls within this classification.On the other hand,coherent detection employs heterodyne detection techniques and achieves detection by measuring the frequency or phase difference between the echo signal and the local oscillator signal.This approach is utilized in frequency modulation continuous wave(FMCW)LiDAR and Doppler speed LiDAR.LiDAR systems employing coherent detection methods can attain heightened sensitivity while operating at lower transmission power levels.However,due to the limitations posed by quantum noise,conventional LiDAR systems have encountered challenges in terms of detection sensitivity and resolution,prompting the need for advancement.In recent times,spurred by the emergence of quantum metrology,a quantum version of LiDAR has been conceptualized,promising superior precision and resolution.Leveraging the enhanced signal-to-noise ratio made possible by quantum advancements,quantum LiDAR demonstrates the potential to extend detection ranges,elevate detection accuracy,bolster anti-jamming capabilities,and enhance anti-stealth performance beyond that of classical LiDAR,all while operating at equivalent transmission signal power levels.As an emerging technology,quantum LiDAR is currently in its exploratory phase,and several challenges must be confronted prior to its practical implementation.These challenges encompass a restricted array of methods for the effective generation of quantum light sources,the vulnerability of quantum states to environmental factors,resulting in their deterioration,the constrained techniques for modulating quantum light sources,and the critical necessity to augment detector sensitivity.Furthermore,present quantum LiDAR efforts primarily concentrate on imaging and ranging capabilities,with limited research dedicated to simultaneous velocity measurement and ranging.Hence,forthcoming investigations into quantum LiDAR will center around optimizing quantum light source efficiency,exploring high-dimensional modulation techniques,and advancing high-sensitivity detectors.These efforts aim to enhance system stability and enable miniaturization,ultimately leading to superior target detection performance.This review centers on the evaluation of ranging and velocity measurement performance within quantum LiDAR systems.Following a concise introduction to two renowned categories of classical LiDAR—namely,pulse LiDAR and FMCW LiDAR,the paper delves into the progress made in quantum pulsed LiDAR and quantum interferometric LiDAR.In particular,this review highlights the advancements in quantum FMCW LiDAR,a system proposed for achieving simultaneous range and velocity measurements with quantum enhancement.By conducting a thorough assessment of the current accomplishments in quantum LiDAR research,the study seeks to attain a more profound comprehension of prevailing research focal points and obstacles,thus offering invaluable insights to steer its prospective advancement.

quantum pulsed LiDARquantum interferometric LiDARrangingvelocity measurementquantum enhancement

刘政东、黄明达、李可仁、蒋占峰、秦琦

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深圳大学微系统与半导体技术实验室,深圳 518060

深圳大学智能光测研究院,深圳 518060

射频异质异构集成全国重点实验室(深圳大学),深圳 518060

量子脉冲激光雷达 量子干涉式激光雷达 距离测量 速度测量 量子增强

2023

科学通报
中国科学院国家自然科学基金委员会

科学通报

CSTPCDCSCD北大核心
影响因子:1.269
ISSN:0023-074X
年,卷(期):2023.68(34)
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