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1

Wu, Zibo, Yue Song, Jishun Liu, et al. "Advancements in Key Parameters of Frequency-Modulated Continuous-Wave Light Detection and Ranging: A Research Review." Applied Sciences 14, no. 17 (2024): 7810. http://dx.doi.org/10.3390/app14177810.

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As LiDAR technology progressively advances, the capability of radar in detecting targets has become increasingly vital across diverse domains, including industrial, military, and automotive sectors. Frequency-modulated continuous-wave (FMCW) LiDAR in particular has garnered substantial interest due to its efficient direct velocity measurement and excellent anti-interference characteristics. It is widely recognized for its significant potential within radar technology. This study begins by elucidating the operational mechanism of FMCW LiDAR and delves into its basic principles. It discuss, in d
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2

Pinto, Luís C. P., and Maria C. R. Medeiros. "Enhanced High-Resolution and Long-Range FMCW LiDAR with Directly Modulated Semiconductor Lasers." Sensors 25, no. 13 (2025): 4131. https://doi.org/10.3390/s25134131.

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Light detection and ranging (LiDAR) sensors are essential for applications where high-resolution distance and velocity measurements are required. In particular, frequency-modulated continuous wave (FMCW) LiDAR, compared with other LiDAR implementations, provides superior receiver sensitivity, enhanced range resolution, and the capability to measure velocity. Integrating LiDARs into electronic and photonic semiconductor chips can lower their cost, size, and power consumption, making them affordable for cost-sensitive applications. Additionally, simple designs are required, such as FMCW signal g
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3

Gao, Jiaqi, Wuping Zhou, and Xiaozhi Wang. "DopplerPTNet: Object Detection Network with Doppler Velocity Information for FMCW LiDAR Point Cloud." Journal of Physics: Conference Series 2809, no. 1 (2024): 012006. http://dx.doi.org/10.1088/1742-6596/2809/1/012006.

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Abstract In the field of autonomous driving, LiDAR plays a crucial role in perception and detection. LiDAR based on Time-of-Flight (ToF) mode can only provide three-dimensional spatial coordinate information of point clouds. In point cloud object detection, the limited feature information of spatial coordinates to some extent restricts the further optimization and improvement of algorithm detection performance. However, LiDAR based on Frequency-Modulated Continuous-Wave (FMCW) mode can not only obtain the three-dimensional spatial coordinates of point clouds, but also directly measure the Dopp
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Geng, Ziwei, Longfei Yin, Dasheng Qian, Guohua Wu, and Bin Luo. "Noise suppression of FMCW lidar." Journal of Physics: Conference Series 2480, no. 1 (2023): 012001. http://dx.doi.org/10.1088/1742-6596/2480/1/012001.

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Abstract Aiming at the problem that the ranging accuracy of the frequency-modulated continuous wave (FMCW) lidar decreases in the strong noise environment, experiments are carried out to verify the feasibility of the Faraday anomalous dispersion filter (FADOF) in the FMCW lidar system. The transmitter of the system uses the potassium atom vapor cell to stabilize the frequency and uses the field programmable gate array (FPGA) as the servo system. K-FADOF is used to suppress the additive noise at the receiving end of the lidar system. The results of this experiment show that the use of FADOF can
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Lei, Yufang, Lingxuan Zhang, Zhiyuan Yu, Yulong Xue, Yangming Ren, and Xiaochen Sun. "Si Photonics FMCW LiDAR Chip with Solid-State Beam Steering by Interleaved Coaxial Optical Phased Array." Micromachines 14, no. 5 (2023): 1001. http://dx.doi.org/10.3390/mi14051001.

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LiDAR has attracted increasing attention because of its strong anti-interference ability and high resolution. Traditional LiDAR systems rely on discrete components and face the challenges of high cost, large volume, and complex construction. Photonic integration technology can solve these problems and achieve high integration, compact dimension, and low-cost on-chip LiDAR solutions. A solid-state frequency-modulated continuous-wave LiDAR based on a silicon photonic chip is proposed and demonstrated. Two sets of optical phased array antennas are integrated on an optical chip to form a transmitt
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6

Wang, Rongrong, Bingnan Wang, Maosheng Xiang, Chuang Li, Shuai Wang, and Chong Song. "Simultaneous Time-Varying Vibration and Nonlinearity Compensation for One-Period Triangular-FMCW Lidar Signal." Remote Sensing 13, no. 9 (2021): 1731. http://dx.doi.org/10.3390/rs13091731.

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Frequency modulation continuous wave (FMCW) Lidar inevitably suffers from vibration and nonlinear frequency modulation, which influences the ranging and imaging results. In this paper, we analyze the impact of vibration error coupled with nonlinearity error on ranging for FMCW Lidar, and propose a purely theoretical approach that simultaneously compensates for time-varying vibration and nonlinearity in one-period triangular FMCW (T-FMCW) signals. We first extract the localized characteristics of dechirp signals in time-frequency domain by using a second-order synchro-squeezing transform (secon
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7

Wang, Rongrong, Bingnan Wang, Yachao Wang, Wei Li, Zhongbin Wang, and Maosheng Xiang. "Time-Varying Vibration Compensation Based on Segmented Interference for Triangular FMCW LiDAR Signals." Remote Sensing 13, no. 19 (2021): 3803. http://dx.doi.org/10.3390/rs13193803.

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Frequency modulation continuous wave (FMCW) light detection and ranging (LiDAR) 3D imaging system may suffer from time-varying vibrations which will affect the accuracy of ranging and imaging of a target. The system uses only a single-period FMCW LiDAR signal to measure the range of each spot; however, traditional methods may not work well to compensate for the time-varying vibrations in a single period because they generally assume the vibration velocity is constant. To solve this problem, we propose a time-varying vibration compensation method based on segmented interference. We first derive
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8

Zhang, Ruibo, Tianxiang Luan, Shuo Li, Chao Wang, and Ailing Zhang. "Enhancing Signal Recognition Accuracy in Delay-Based Optical Reservoir Computing: A Comparative Analysis of Training Algorithms." Electronics 13, no. 11 (2024): 2202. http://dx.doi.org/10.3390/electronics13112202.

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To improve the accuracy of signal recognition in delay-based optical reservoir computing (RC) systems, this paper proposes the use of nonlinear algorithms at the output layer to replace traditional linear algorithms for training and testing datasets and apply them to the identification of frequency-modulated continuous wave (FMCW) LiDAR signals. This marks the inaugural use of the system for the identification of FMCW LiDAR signals. We elaborate on the fundamental principles of a delay-based optical RC system using an optical-injected distributed feedback laser (DFB) laser and discriminate fou
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9

Martin, Aude, Peter Verheyen, Peter De Heyn, et al. "Photonic Integrated Circuit-Based FMCW Coherent LiDAR." Journal of Lightwave Technology 36, no. 19 (2018): 4640–45. http://dx.doi.org/10.1109/jlt.2018.2840223.

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10

Massaro, R. D., J. E. Anderson, J. D. Nelson, and J. D. Edwards. "A Comparative Study between Frequency-Modulated Continous Wave LADAR and Linear LiDAR." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (November 7, 2014): 233–39. http://dx.doi.org/10.5194/isprsarchives-xl-1-233-2014.

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Topographic Light Detection and Ranging (LiDAR) technology has advanced greatly in the past decade. Pulse repetition rates of terrestrial and airborne systems havemultiplied thus vastly increasing data acquisition rates. Geiger-mode and FLASH LiDAR have also become far more mature technologies. However, a new and relatively unknown technology is maturing rapidly: Frequency-Modulated Continuous Wave Laser Detection and Ranging (FMCW-LADAR). Possessing attributes more akin to modern radar systems, FMCWLADAR has the ability to more finely resolve objects separated by very small ranges. For tactic
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11

Kim, Chankyu, Yunho Jung, and Seongjoo Lee. "FMCW LiDAR System to Reduce Hardware Complexity and Post-Processing Techniques to Improve Distance Resolution." Sensors 20, no. 22 (2020): 6676. http://dx.doi.org/10.3390/s20226676.

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As the autonomous driving technology develops, research on related sensors is also being actively conducted. One system that is widely used today uses a light source with a wavelength in the 905 nm band for the pulse Light Detection And Ranging (LiDAR) system. This has the disadvantages of being harmful to the human eye and in making digital signal processing difficult at high sampling rates. The Frequency Modulated Continuous Wave (FMCW) LiDAR system has been proposed as an alternative. However, the FMCW LiDAR is formed with a high beat frequency by a method different from that of the FMCW Ra
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12

Goodman, Matthew A., R. Krishna Mohan, and Wm Randall Babbitt. "Range selective digital holographic imaging using FMCW lidar." Applied Optics 61, no. 5 (2022): B255. http://dx.doi.org/10.1364/ao.444850.

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13

Dieckmann, A. "FMCW-LIDAR with tunable twin-guide laser diode." Electronics Letters 30, no. 4 (1994): 308–9. http://dx.doi.org/10.1049/el:19940206.

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14

MIAO, Yinxiao, Xingyu WANG, Hao ZHU, Chenxing BAO, and Jiubin TAN. "Model establishment and error correction of FMCW lidar." Optics and Precision Engineering 31, no. 9 (2023): 1295–303. http://dx.doi.org/10.37188/ope.20233109.1295.

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15

Xiao, Zhenzhen, Zhengmao Wu, Zaifu Jiang, Dianzuo Yue, and Guangqiong Xia. "Experimental Investigation on the Ranging Resolution of a FMCW Lidar." Photonics 9, no. 1 (2021): 11. http://dx.doi.org/10.3390/photonics9010011.

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In some previous reports about frequency-modulated continuous-wave (FMCW) Lidar, observing the longer waveform of a de-chirped signal is considered an effective scheme for further improving the ranging resolution. In this work, the ranging resolution of a FMCW Lidar is experimentally investigated, and the feasibility of such a scheme is tested. During the experiment, a FMCW signal is generated via a Mach–Zehnder modulator in the transmitted port. In the received port, the de-chirped signal is extracted based on a homodyne detection scheme and is analyzed by an electrical spectrum analyzer. Two
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16

Sun, Pengwei, Bin Zhao, and Bo Liu. "Optical Frequency Sweeping Nonlinearity Measurement Based on a Calibration-free MZI." Remote Sensing 16, no. 24 (2024): 4766. https://doi.org/10.3390/rs16244766.

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Frequency sweeping linearity is essential for Frequency-Modulated Continuous Wave (FMCW) Light Detection and Ranging (LIDAR), as it impacts the ranging resolution and accuracy of the system. Pre-distortion methods can correct for frequency sweeping nonlinearity; however, residual minor nonlinearities can still degrade the system ranging resolution, especially at far distances. Therefore, the precise measurement of minor nonlinearities is particularly essential for long-range FMCW LIDAR. This paper proposes a calibration-free MZI for measuring optical frequency sweeping nonlinearity, which invo
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17

Yang, Jiewei, Tianxin Yang, Zhaoying Wang, Dongfang Jia, and Chunfeng Ge. "A Novel Method of Measuring Instantaneous Frequency of an Ultrafast Frequency Modulated Continuous-Wave Laser." Sensors 20, no. 14 (2020): 3834. http://dx.doi.org/10.3390/s20143834.

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Ultrafast linear frequency modulated continuous-wave (FMCW) lasers are a special category of CW lasers. The linear FMCW laser is the light source for many sensing applications, especially for light detection and ranging (LiDAR). However, systems for the generation of high quality linear FMCW light are limited and diverse in terms of technical approaches and mechanisms. Due to a lack of characterization methods for linear FMCW lasers, it is difficult to compare and judge the generation systems in the same category. We propose a novel scheme for measuring the mapping relationship between instant
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18

Liu, Xiaochen. "Research on Application of LIDAR in Auto Driving: A Review." Applied and Computational Engineering 119, no. 1 (2025): 38–44. https://doi.org/10.54254/2755-2721/2025.21646.

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LIDAR (Light Detection and Ranging) technology has emerged as a cornerstone of modern autonomous vehicle systems. LIDAR systems provide high-resolution 3D mapping, precise object detection, and effective range measurements, contributing to the development of critical functionalities such as obstacle avoidance, emergency braking, and adaptive cruise control. This review aims to explore the integration of LIDAR technology in autonomous driving, analyzing its principles, current applications, and the challenges it faces. The study draws on recent advancements, including multi-sensor data fusion t
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19

Yu, Wangke, and Jize Yan. "Modelling and Analysis of Vector and Vector Vortex Beams Reflection for Optical Sensing." Photonics 11, no. 8 (2024): 729. http://dx.doi.org/10.3390/photonics11080729.

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Light Detection and Ranging (LiDAR) sensors can precisely determine object distances using the pulsed time of flight (TOF) or amplitude-modulated continuous wave (AMCW) TOF methods and velocity using the frequency-modulated continuous wave (FMCW) approach. In this paper, we focus on modelling and analysing the reflection of vector beams (VBs) and vector vortex beams (VVBs) for optical sensing in LiDAR applications. Unlike traditional TOF and FMCW methods, this novel approach uses VBs and VVBs as detection signals to measure the orientation of reflecting surfaces. A key component of this sensin
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20

Li, Zhi, Bonan Liu, Chang Rui Liao, and H. Y. Fu. "Solid-state FMCW LiDAR with in-fiber beam scanner." Optics Letters 47, no. 3 (2022): 469. http://dx.doi.org/10.1364/ol.440940.

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21

Qingchun, Huang, Cai Kaida, and Xiao Jing. "Modeling of detection techniques for FMCW lidar using OptiSystem." Journal of Physics: Conference Series 1939, no. 1 (2021): 012066. http://dx.doi.org/10.1088/1742-6596/1939/1/012066.

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22

Isaac, Brandon J., Bowen Song, Sergio Pinna, Larry A. Coldren, and Jonathan Klamkin. "Indium Phosphide Photonic Integrated Circuit Transceiver for FMCW LiDAR." IEEE Journal of Selected Topics in Quantum Electronics 25, no. 6 (2019): 1–7. http://dx.doi.org/10.1109/jstqe.2019.2911420.

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23

Lee, Jubong, Jinseo Hong, and Kyihwan Park. "Frequency Modulation Control of an FMCW LiDAR Using a Frequency-to-Voltage Converter." Sensors 23, no. 10 (2023): 4981. http://dx.doi.org/10.3390/s23104981.

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An FMCW LiDAR (frequency-modulated continuous-wave light detection and ranging) is a sensor that can measure distance using optical interference frequency (fb). This sensor has recently attracted interest because it is robust to harsh environmental conditions and sunlight due to the wave properties of the laser. Theoretically, when the frequency of the reference beam is linearly modulated, a constant fb is obtained with respect to the distance. However, when the frequency of the reference beam fails to be linearly modulated, the distance measurement is not accurate. In this work, linear freque
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Yamazaki, Shumpei, Takemasa Tamanuki, Hiroyuki Ito, Riku Kubota, and Toshihiko Baba. "Silicon FMCW LiDAR chip integrated with SLG beam scanner and k-clock interferometer for operation with wavelength-swept laser source." Optics Express 32, no. 12 (2024): 21191. http://dx.doi.org/10.1364/oe.524890.

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We fabricated a frequency-modulated continuous-wave light detection and ranging (FMCW LiDAR) chip that integrates a slow-light grating (SLG) beam scanner and an optical interferometer for k-clock generation using silicon photonics. Beam scanning and FMCW light generation were performed simultaneously through a wavelength sweep, while the sweep nonlinearity was compensated by resampling the ranging signal using the k-clock. The interferometer incorporated a 24-cm-long Si waveguide delay line, facilitating ranging up to 7.1 m and the capture of point cloud images. The possibility of ranging long
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Cho, Byung-Lae, Sun-Gu Sun, and Jong-Min Lee. "A Study on the Implementation of FMCW LiDAR for Detecting Small UAVs." Journal of Korean Institute of Information Technology 19, no. 1 (2021): 99–106. http://dx.doi.org/10.14801/jkiit.2021.19.1.99.

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26

Li, Bingchen, Di Mo, Peisi Wang, et al. "FMCW lidar multitarget detection based on skeleton tree waveform matching." Applied Optics 60, no. 27 (2021): 8328. http://dx.doi.org/10.1364/ao.431516.

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27

Tsuchida, H. "Differential FMCW‐LiDAR for breaking the limit of laser coherence." Electronics Letters 56, no. 12 (2020): 614–16. http://dx.doi.org/10.1049/el.2020.0186.

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ZHAO, Shuhua, Yubing WANG, Mingshi ZHANG, Li QIN, Junfeng SONG, and Lijun WANG. "FMCW Lidar and noise analysis of data acquisition signal chain." Optics and Precision Engineering 31, no. 1 (2023): 78–88. http://dx.doi.org/10.37188/ope.20233101.0078.

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29

Zheng, Yifan. "Unlocking The Potential of Lidar: Principles, Applications, And Future Prospects." Highlights in Science, Engineering and Technology 81 (January 26, 2024): 258–64. http://dx.doi.org/10.54097/w1qhev27.

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Light Detecting and Ranging (LiDAR) has been experiencing a surge in popularity within the realm of high-tech innovations. This article elaborates on the operational principles, structural intricacies, and scanning methodologies of contemporary LiDAR devices. Additionally, this article provides a comprehensive overview of the diverse array of applications that LiDAR technology finds utility in, ranging from remote sensing and transportation to geography, atmospheric science, and astronomy. In the context of Time of Flight (ToF) LiDAR, the underlying operational concept revolves around measurin
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30

Zhou, Hui, Yuwei Chen, Teemu Hakala, et al. "The Penetration Analysis of Airborne Ku-Band Radar Versus Satellite Infrared Lidar Based on the Height and Energy Percentiles in the Boreal Forest." Remote Sensing 13, no. 9 (2021): 1650. http://dx.doi.org/10.3390/rs13091650.

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The paper investigates the penetration properties of an airborne Ku-band frequency modulated continuous waveform (FMCW) profiling radar named Tomoradar and a satellite near-infrared lidar into the boreal forest of Finland. We achieve the accumulative energy distributions based on the Tomoradar waveforms and the satellite lidar waveforms generated from the high-density airborne lidar data within Tomoradar footprints. By comparing two groups of the height percentiles and energy percentiles derived from the accumulative energy distributions, we evaluate the relationship of penetrations between th
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31

Yokota, Nobuhide, Hiroki Kiuchi, and Hiroshi Yasaka. "Directly modulated optical negative feedback lasers for long-range FMCW LiDAR." Optics Express 30, no. 7 (2022): 11693. http://dx.doi.org/10.1364/oe.452284.

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32

Xu, Zhongyang, Hongxiang Zhang, Kai Chen, Dan Zhu, and Shilong Pan. "FMCW Lidar Using Phase-Diversity Coherent Detection to Avoid Signal Aliasing." IEEE Photonics Technology Letters 31, no. 22 (2019): 1822–25. http://dx.doi.org/10.1109/lpt.2019.2948471.

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33

Zhang, Jiatong, Chang Liu, Liwen Su, et al. "Wide range linearization calibration method for DFB Laser in FMCW LiDAR." Optics and Lasers in Engineering 174 (March 2024): 107961. http://dx.doi.org/10.1016/j.optlaseng.2023.107961.

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34

Tsai, Yu-Kuan, Zheng-Xiang Liao, Yu-Xiang Lin, et al. "Linearization of wavelength sweeping lasers for the construction of 4-D FMCW LiDAR images of slow-moving objects using baseband beat note signals." Optics Express 32, no. 11 (2024): 20401. http://dx.doi.org/10.1364/oe.524443.

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A FMCW LiDAR system of both the distributed feedback laser and external cavity laser is established in baseband beat notes, rather than up-conversion to an intermediate frequency to exclude flicker noise. Meanwhile, utilizing fast-scanning MEMS mirrors, high-quality real-time (1 fps) 4-D images of the slow-moving object (10 mm/s) can be directly constructed at the baseband with a central frequency as low as 100 kHz and a small Doppler shift. The proposed LiDAR architecture based on such a low-frequency baseband significantly improves the optical power budget on the transmitter side and elimina
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35

Zhang, Xiaosheng, Kyungmok Kwon, Johannes Henriksson, Jianheng Luo, and Ming C. Wu. "A large-scale microelectromechanical-systems-based silicon photonics LiDAR." Nature 603, no. 7900 (2022): 253–58. http://dx.doi.org/10.1038/s41586-022-04415-8.

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AbstractThree-dimensional (3D) imaging sensors allow machines to perceive, map and interact with the surrounding world1. The size of light detection and ranging (LiDAR) devices is often limited by mechanical scanners. Focal plane array-based 3D sensors are promising candidates for solid-state LiDARs because they allow electronic scanning without mechanical moving parts. However, their resolutions have been limited to 512 pixels or smaller2. In this paper, we report on a 16,384-pixel LiDAR with a wide field of view (FoV, 70° × 70°), a fine addressing resolution (0.6° × 0.6°), a narrow beam dive
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Peng Chen, 陈鹏, 赵继广 Jiguang Zhao, 宋一铄 Yishuo Song, and 王燊 Shen Wang. "Comparison on detection performance of FMCW and pulsed lidar in aerosol environment." Infrared and Laser Engineering 49, no. 6 (2020): 20190399. http://dx.doi.org/10.3788/irla.22_2019-0399.

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Chung, Te-Yuan, Ruoh-Rou Chang, and Yung-Hsin Chen. "Demonstration of FMCW LiDAR using a diode laser feedback with PQ:PMMA VBG." OSA Continuum 4, no. 10 (2021): 2687. http://dx.doi.org/10.1364/osac.439066.

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Peng Chen, 陈鹏, 赵继广 Jiguang Zhao, 宋一铄 Yishuo Song, and 王燊 Shen Wang. "Comparison on detection performance of FMCW and pulsed lidar in aerosol environment." Infrared and Laser Engineering 49, no. 6 (2020): 20190399. http://dx.doi.org/10.3788/irla20190399.

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Suyama, Saneyuki, Hiroyuki Ito, Ryo Kurahashi, Hiroshi Abe, and Toshihiko Baba. "Doppler velocimeter and vibrometer FMCW LiDAR with Si photonic crystal beam scanner." Optics Express 29, no. 19 (2021): 30727. http://dx.doi.org/10.1364/oe.438453.

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Baba, Toshihiko, Takemasa Tamanuki, Hiroyuki Ito, et al. "Silicon Photonics FMCW LiDAR Chip With a Slow-Light Grating Beam Scanner." IEEE Journal of Selected Topics in Quantum Electronics 28, no. 5 (2022): 1–8. http://dx.doi.org/10.1109/jstqe.2022.3157824.

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41

Zhang, Xiaosheng, Jazz Pouls, and Ming C. Wu. "Laser frequency sweep linearization by iterative learning pre-distortion for FMCW LiDAR." Optics Express 27, no. 7 (2019): 9965. http://dx.doi.org/10.1364/oe.27.009965.

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42

Tsuchida, H. "Regression analysis of FMCW–LiDAR beat signals for non‐linear chirp mitigation." Electronics Letters 55, no. 16 (2019): 914–16. http://dx.doi.org/10.1049/el.2019.1901.

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43

Kwon, Soonwook, Sunjak Choi, Baek Jieun, Cheong Hyun Roh, Tae Geun Kim, and Junho Lee. "Implementation of Array Balanced Photodetector for Coherent Detection of a Flash FMCW LiDAR." Journal of Korean Institute of Communications and Information Sciences 47, no. 9 (2022): 1430–38. http://dx.doi.org/10.7840/kics.2022.47.9.1430.

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Cha, Daewoong, Sohee Jeong, Minwoo Yoo, Jiyong Oh, and Dongseog Han. "Multi-Input Deep Learning Based FMCW Radar Signal Classification." Electronics 10, no. 10 (2021): 1144. http://dx.doi.org/10.3390/electronics10101144.

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In autonomous driving vehicles, the emergency braking system uses lidar or radar sensors to recognize the surrounding environment and prevent accidents. The conventional classifiers based on radar data using deep learning are single input structures using range–Doppler maps or micro-Doppler. Deep learning with a single input structure has limitations in improving classification performance. In this paper, we propose a multi-input classifier based on convolutional neural network (CNN) to reduce the amount of computation and improve the classification performance using the frequency modulated co
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45

Yang, Zhen, Yufan Yang, Manguo Liu, et al. "Decoupling and Parameter Extraction Methods for Conical Micro-Motion Object Based on FMCW Lidar." Sensors 24, no. 6 (2024): 1832. http://dx.doi.org/10.3390/s24061832.

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Micro-Doppler time–frequency analysis has been regarded as an important parameter extraction method for conical micro-motion objects. However, the micro-Doppler effect caused by micro-motion can modulate the frequency of lidar echo, leading to coupling between structure and micro-motion parameters. Therefore, it is difficult to extract parameters for micro-motion cones. We propose a new method for parameter extraction by combining the range profile of a micro-motion cone and the micro-Doppler time–frequency spectrum. This method can effectively decouple and accurately extract the structure and
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46

Liu, Junchen, Guohao Chen, Mengxin Liu, et al. "High-precision multichannel time-domain wavelength division multiplexing FMCW LiDAR ranging and 3D imaging." Chinese Optics Letters 23, no. 2 (2025): 021203. https://doi.org/10.3788/col202523.021203.

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47

Li, Zhi, Zihan Zang, H. Y. Fu, Yi Luo, and Yanjun Han. "Virtually imaged phased-array-based 2D nonmechanical beam-steering device for FMCW LiDAR." Applied Optics 60, no. 8 (2021): 2177. http://dx.doi.org/10.1364/ao.414128.

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48

Jiang, Shuo, Bo Liu, and Shengjie Wang. "A Dispersion Compensation Method Based on Resampling of Modulated Signal for FMCW Lidar." Sensors 21, no. 1 (2021): 249. http://dx.doi.org/10.3390/s21010249.

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In order to eliminate the nonlinearity in the laser modulation process, the dual-interferometers system is often adopted in the frequency modulation continuous wave (FMCW) laser ranging. However, the dispersion mismatch between the fiber reference interferometer and the measurement interferometer will lead to the decrease in ranging accuracy and resolution. In this paper, a dispersion compensation method based on resampling with a modulated signal is proposed. Since the beat signal of the end face of the delay fiber is not affected by dispersion mismatch, it can be modulated to generate a sign
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49

Crouch, Stephen. "Velocity Measurement in Automotive Sensing: How FMCW Radar and Lidar Can Work Together." IEEE Potentials 39, no. 1 (2020): 15–18. http://dx.doi.org/10.1109/mpot.2019.2935266.

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50

Zhang, Fumin, Lingping Yi, and Xinghua Qu. "Simultaneous measurements of velocity and distance via a dual-path FMCW lidar system." Optics Communications 474 (November 2020): 126066. http://dx.doi.org/10.1016/j.optcom.2020.126066.

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