Estimation for IF signal frequency of FMCW LIDAR based on Hilbert-Huang transform

Xinyu Cao; Guang He

doi:10.1117/12.2651113

14 October 2022 Estimation for IF signal frequency of FMCW LIDAR based on Hilbert-Huang transform

Xinyu Cao, Guang He

Proceedings Volume 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022); 123431I (2022) https://doi.org/10.1117/12.2651113
Event: 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 2022, Qingdao, China

Abstract

This letter proposes an improved method to estimate intermediate frequency (IF) signal frequency of FMCW LIDAR. This method extracts characteristics of IF signal from FMCW LIDAR and optimizes the selection and solution of intrinsic mode functions (IMFs). The main contribution of the proposed solution, namely refined modal variation Hilbert-Huang transform (RMV-HHT), relies on the extraction of characteristics from the specific IMF of the IF signal decomposed by variational mode decomposition (VMD). Considering non-stationary interference and environmental noise, the RMVHHT and four competitive methods are evaluated. Calculating distance after signal processed by different methods, the RMV-HHT achieves the highest SNR and lowest mean absolute error at different distances. Results demonstrate that the proposed RMV-HHT method is superior to traditional methods in FMCW LIDAR signal processing.

Citation Download Citation

Xinyu Cao and Guang He "Estimation for IF signal frequency of FMCW LIDAR based on Hilbert-Huang transform", Proc. SPIE 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 123431I (14 October 2022); https://doi.org/10.1117/12.2651113

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