Laser frequency sweep linearization by BP neural network for FMCW LiDAR

Mijie Yang; Rui Cao; Tonghui Li; Beibei Wu; Ping Jiang; Youxi Lu; Li Jin

doi:10.1117/12.2587229

12 March 2021 Laser frequency sweep linearization by BP neural network for FMCW LiDAR

Mijie Yang, Rui Cao, Tonghui Li, Beibei Wu, Ping Jiang, Youxi Lu, Li Jin

Proceedings Volume 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications; 1176359 (2021) https://doi.org/10.1117/12.2587229
Event: Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, 2020, Kunming, China

Abstract

Light detection and ranging (LiDAR) technologies, the active imaging technology, show a great potential in applications like threedimensional imaging. Combined with the frequency-modulated continuous-wave (FMCW) technology, LiDAR can provide the velocity of the target based on the Doppler effect. The linearization of the laser frequency sweep is crucial for higher resolution and lower signalto-noise ratio in FMCW LiDAR. In this paper, a proportional integral derivative (PID) control method based on a back propagation (BP) neural network is used to pre-calibrate the DFB laser to realize the high-linearity frequency sweep. The laser sweeping frequency is 12.5 kHz with a laser frequency excursion of 3.7 GHz, and the residual nonlinearity is 0.0015%. The linearized DFB laser is applied to the FMCW LiDAR system for two-dimensional imaging with a maximum distance of 70 meters.

Citation Download Citation

Mijie Yang, Rui Cao, Tonghui Li, Beibei Wu, Ping Jiang, Youxi Lu, and Li Jin "Laser frequency sweep linearization by BP neural network for FMCW LiDAR", Proc. SPIE 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, 1176359 (12 March 2021); https://doi.org/10.1117/12.2587229

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