Multipoint Combined Processing for FMCW LiDAR-Reference-Cited by-同舟云学术

Multipoint Combined Processing for FMCW LiDAR

Published:2022-05-01 Issue:9 Volume:22 Page:8933-8943
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Kim Sehun¹^ORCID,Jung Yunho²^ORCID,Lee Seongjoo¹^ORCID

Affiliation:

1. Department of Information and Communication Engineering & Convergence Engineering of Intelligent Drone, Sejong University, Seoul, South Korea

2. Department of Smart Drone Convergence, School of Electronics and Information Engineering, Aerospace University, Goyang-si, South Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea

Ministry of Education

NRF

Korean Government

EDA tools

IC Design Education Center (IDEC), South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9766065/09745540.pdf?arnumber=9745540

Reference22 articles.

1. Method to improve range and velocity error using de-interleaving and frequency interpolation for automotive FMCW radars;hyun;Int J Signal Process Image Process Pattern Recognit,2009

2. Demonstration of high output power DBR laser integrated with SOA for the FMCW LiDAR system

3. A low-power twiddle factor addressing architecture for split-radix FFT processor

4. FMCW LiDAR System to Reduce Hardware Complexity and Post-Processing Techniques to Improve Distance Resolution

5. Frequency-modulated continuous-wave lidar using I/Q modulator for simplified heterodyne detection

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