An FPGA-based reconfigurable data acquisition system for LIDAR signal detection
by Héctor A. Lacomi; Tomás Di Fiore; Nicolás Urbano Pintos; Facundo S. Larosa
International Journal of Embedded Systems (IJES), Vol. 14, No. 6, 2021

Abstract: Commercial equipment to detect backscattering LIDAR signals is extremely expensive and is not flexible, making it cost prohibitive and unpractical in the long-term for ad hoc detection systems where it is necessary to perform continuous improvement in the field and/or depending on the application. In this paper the development, construction and evaluation of a data acquisition system based on field programmable gate array (FPGA) technology to capture and process backscattering LIDAR signals is presented. The system performance was evaluated using laboratory generated signals which resulted in a similar performance compared with commercial equipment. Results obtained with the system were compared with several similar published implementations in order to contrast several aspects of the systems. This comparison is encouraging since it shows that this kind of scientific-grade system can be implemented using the described approach thus reaching lower costs and, at the same time, gaining in modularity, reusability, reconfigurability and flexibility.

Online publication date: Thu, 24-Feb-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Embedded Systems (IJES):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com