Design of pulse compression system based on real-time processing FPGA

Ruqing Liu; Jingguo Zhu; Feng Li; Yan Jiang; Tao Hu; Chenghao Jiang

doi:10.1117/12.3009439

2 November 2023 Design of pulse compression system based on real-time processing FPGA

Ruqing Liu, Jingguo Zhu, Feng Li, Yan Jiang, Tao Hu, Chenghao Jiang

Proceedings Volume 12920, XVI International Conference on Pulsed Lasers and Laser Applications; 129200P (2023) https://doi.org/10.1117/12.3009439
Event: XVI International Conference on Pulsed Lasers and Laser Applications, 2023, Tomsk, Russian Federation

Abstract

Aiming at the problem of high laser power requirements in the long-distance application of LiDAR, combined with the advantages of long-distance detection capability of linear frequency modulation continuous wave, this paper proposes a pulse compression real-time processing technology based on LiDAR data module FPGA. Matlab software is used for parameter simulation, and then FPGA algorithm is used to implement the real-time frequency domain pulse compression processing. By comparing verilog simulation and Matlab simulation results, the feasibility of digital pulse compression real-time processing system design in this paper is verified.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ruqing Liu, Jingguo Zhu, Feng Li, Yan Jiang, Tao Hu, and Chenghao Jiang "Design of pulse compression system based on real-time processing FPGA", Proc. SPIE 12920, XVI International Conference on Pulsed Lasers and Laser Applications, 129200P (2 November 2023); https://doi.org/10.1117/12.3009439

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available