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A novel direct detection lidar compatible with software-defined radio.

Authors :
Du, Jun
Liu, Hongshuai
Qu, Yanchen
Yang, Na
Liu, Xiangtong
Liu, Ying
Zhang, Meina
Source :
Optics Communications. Oct2024, Vol. 569, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

This paper proposes a novel direct detection lidar compatible with software-defined radio, which can effectively absorb the advantages of radio frequency technology. The radio frequency signal is firstly loaded onto the output light of the lidar through a fiber phase modulator and then demodulated from its backward reflected light through a combination of fiber Fabry-Perot interferometer and photodetector. The generation of the transmitting radio frequency signal and the sampling and processing of the receiving radio frequency signal are completed by a software-defined radio. Theoretically, it has been proven that the range and velocity of the target cause phase delay and Doppler frequency shift of the radio frequency signal loaded on the lidar, just like using the radio frequency signal to directly detect the target in radar. In the experiment, by programming the software-defined radio, the ranging and velocimetry algorithms of radar have been applied to this lidar. The theoretical and experimental results indicate that the lidar proposed in this paper has software definable characteristics. Through programming, different functions can be achieved, and in the future, more advanced algorithms of radar can be easily transplanted to further improve its performance. • We stall radar with Software-Defined Radio as component on a direct detection lidar. • The advantages of radar improve direct detection lidar detection capability. • The software of advanced radar algorithm upgrades the functionality of direct detection lidar. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00304018
Volume :
569
Database :
Academic Search Index
Journal :
Optics Communications
Publication Type :
Academic Journal
Accession number :
178645378
Full Text :
https://doi.org/10.1016/j.optcom.2024.130727