Luan, Tianxiang, Zhang, Ruibo, Yue, Yuanli, Liu, Shouju, Zhang, Ailing, Wang, Chao (2023) A Frequency Modulated Continuous Wave LiDAR System Based on Reservoir Computing. In: 2023 International Topical Meeting on Microwave Photonics (MWP). 2023 International Topical Meeting on Microwave Photonics (MWP). . IEEE (doi:10.1109/mwp58203.2023.10416600) (KAR id:105006)
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Official URL: https://doi.org/10.1109/mwp58203.2023.10416600 |
Abstract
A frequency modulated continuous wave (FMCW) light detection and ranging (LiDAR) system based on reservoir computing (RC) is proposed and its reliability is verified through simulations and experiments. Fundamentally different from previous approaches where Fourier analysis is always required to determine distance information, here temporal signal analysis using RC is adopted. The system is robust to nonlinearity in frequency modulation of optical carrier, hence improving the range detection resolution. An intensity-modulated light is injected into a semiconductor laser to deliberately generate a non-ideal nonlinear wavelength scanning light source. The change in distance corresponds to the change in the IF signal over time. The RC classifies the IF signal waveform in the time domain to eliminate the need for linearization, and determines the distance from the classification results. The distance measurement resolution of this method is 1 cm in the 6.1 GHz scanning range, which shows that the method effectively addresses the effect of source nonlinearity due to the scanning wavelength while reducing computational complexity. The method has been demonstrated to reduce calculation cost.
Item Type: | Conference or workshop item (Proceeding) |
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DOI/Identification number: | 10.1109/mwp58203.2023.10416600 |
Additional information: | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Funders: |
Engineering and Physical Sciences Research Council (https://ror.org/0439y7842)
National Museum of Natural History (https://ror.org/04a4v0j95) |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 16 Feb 2024 16:04 UTC |
Last Modified: | 05 Nov 2024 13:10 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/105006 (The current URI for this page, for reference purposes) |
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