Presentation
9 March 2023 Data-efficient FMCW-LiDAR using electrical-frequency mixing
Author Affiliations +
Proceedings Volume PC12428, Photonic Instrumentation Engineering X; PC1242809 (2023) https://doi.org/10.1117/12.2651003
Event: SPIE OPTO, 2023, San Francisco, California, United States
Abstract
Conventional FMCW-LiDAR uses a high-performance ADC to obtain digitized signals and analyze bit frequencies through FFT to measure distance. High accuracy, SNR, and real-time operation in FMCW Lidar requires a high sampling rate ADC and many FFT points, which is a burden on hardware and signal processing. In this study, a frequency-mixed FMCW-LiDAR was designed to overcome the limitation of the conventional system. The local oscillator LO was supplied in the form of an electric chirp signal, and the resolution and measurable range of the signal are determined according to the range of sweep frequency. By mixing the sweeping LO and beat signals, the proposed system enables frequency analysis on the time axis, enabling efficient analysis in data acquisition.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chang-Seok Kim, Nayoung Kim, and Hansol Jang "Data-efficient FMCW-LiDAR using electrical-frequency mixing", Proc. SPIE PC12428, Photonic Instrumentation Engineering X, PC1242809 (9 March 2023); https://doi.org/10.1117/12.2651003
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KEYWORDS
LIDAR

Modulation

Signal analyzers

Signal processing

Frequency conversion

Oscillators

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