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Tow-tone Radar Sensor Based Target Detection and Classification Scheme

Title
Tow-tone Radar Sensor Based Target Detection and Classification Scheme
Authors
Hyun, EuginJin, Young-Seok
DGIST Authors
Hyun, Eugin; Jin, Young-Seok
Issue Date
2019-06-19
Citation
2019 PhotonIcs and Electromagnetics Research Symposium - Spring, PIERS-Spring 2019, 2559-2562
Type
Conference
ISBN
9781728134031
ISSN
1559-9450
Abstract
In this paper, we propose a target detection and classification scheme based on a two-tone sensor. First, to estimate the target range precisely, we extract the phase difference from the Doppler spectra of two echoes reflected from a target. Next, by applying a target classification algorithm, we generate several micro-Doppler images over time. In order to verify the effectiveness of the proposed scheme, we conduct a simulation of a received signal and algorithm for a walking human over a distance of approximately 3 m/s. In the results, we modeled five body components of the human, estimated the range, and generated a micro-Doppler image. © 2019 IEEE.
URI
http://hdl.handle.net/20.500.11750/11612
DOI
10.1109/PIERS-Spring46901.2019.9017331
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Hyun, Eugin  
  • Research Interests Radar system, Radar signal processing, Automotive radar, Surveillance radar, Commercial radar, Defence radar,
Files:
There are no files associated with this item.
Collection:
Division of Automotive Technology2. Conference Papers


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