Cargando…
Dual-Mode Radar Sensor for Indoor Environment Mapping
In this paper, we introduce mapping results in an indoor environment based on our own developed dual-mode radar sensor. Our radar system uses a frequency-modulated continuous wave (FMCW) with a center frequency of 62 GHz and a multiple-input multiple-output antenna system. In addition, the FMCW rada...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038195/ https://www.ncbi.nlm.nih.gov/pubmed/33918278 http://dx.doi.org/10.3390/s21072469 |
_version_ | 1783677319502626816 |
---|---|
author | Lee, Seongwook Kwon, Song-Yi Kim, Bong-Jun Lim, Hae-Seung Lee, Jae-Eun |
author_facet | Lee, Seongwook Kwon, Song-Yi Kim, Bong-Jun Lim, Hae-Seung Lee, Jae-Eun |
author_sort | Lee, Seongwook |
collection | PubMed |
description | In this paper, we introduce mapping results in an indoor environment based on our own developed dual-mode radar sensor. Our radar system uses a frequency-modulated continuous wave (FMCW) with a center frequency of 62 GHz and a multiple-input multiple-output antenna system. In addition, the FMCW radar sensor we designed is capable of dual-mode detection, which alternately transmits two waveforms using different bandwidths within one frame. The first waveform is for long-range detection, and the second waveform is for short-range detection. This radar system is mounted on a small robot that moves in indoor environments such as rooms or hallways, and the radar and the robot send and receive necessary information to each other. The radar estimates the distance, velocity, and angle information of targets around the radar-equipped robot. Then, the radar receives information about the robot’s motion from the robot, such as its speed and rotation angle. Finally, by combining the motion information and the detection results, the radar-equipped robot maps the indoor environment while finding its own position. Compared to the actual map data, the radar-based mapping is effectively achieved through the radar system we developed. |
format | Online Article Text |
id | pubmed-8038195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80381952021-04-12 Dual-Mode Radar Sensor for Indoor Environment Mapping Lee, Seongwook Kwon, Song-Yi Kim, Bong-Jun Lim, Hae-Seung Lee, Jae-Eun Sensors (Basel) Article In this paper, we introduce mapping results in an indoor environment based on our own developed dual-mode radar sensor. Our radar system uses a frequency-modulated continuous wave (FMCW) with a center frequency of 62 GHz and a multiple-input multiple-output antenna system. In addition, the FMCW radar sensor we designed is capable of dual-mode detection, which alternately transmits two waveforms using different bandwidths within one frame. The first waveform is for long-range detection, and the second waveform is for short-range detection. This radar system is mounted on a small robot that moves in indoor environments such as rooms or hallways, and the radar and the robot send and receive necessary information to each other. The radar estimates the distance, velocity, and angle information of targets around the radar-equipped robot. Then, the radar receives information about the robot’s motion from the robot, such as its speed and rotation angle. Finally, by combining the motion information and the detection results, the radar-equipped robot maps the indoor environment while finding its own position. Compared to the actual map data, the radar-based mapping is effectively achieved through the radar system we developed. MDPI 2021-04-02 /pmc/articles/PMC8038195/ /pubmed/33918278 http://dx.doi.org/10.3390/s21072469 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lee, Seongwook Kwon, Song-Yi Kim, Bong-Jun Lim, Hae-Seung Lee, Jae-Eun Dual-Mode Radar Sensor for Indoor Environment Mapping |
title | Dual-Mode Radar Sensor for Indoor Environment Mapping |
title_full | Dual-Mode Radar Sensor for Indoor Environment Mapping |
title_fullStr | Dual-Mode Radar Sensor for Indoor Environment Mapping |
title_full_unstemmed | Dual-Mode Radar Sensor for Indoor Environment Mapping |
title_short | Dual-Mode Radar Sensor for Indoor Environment Mapping |
title_sort | dual-mode radar sensor for indoor environment mapping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038195/ https://www.ncbi.nlm.nih.gov/pubmed/33918278 http://dx.doi.org/10.3390/s21072469 |
work_keys_str_mv | AT leeseongwook dualmoderadarsensorforindoorenvironmentmapping AT kwonsongyi dualmoderadarsensorforindoorenvironmentmapping AT kimbongjun dualmoderadarsensorforindoorenvironmentmapping AT limhaeseung dualmoderadarsensorforindoorenvironmentmapping AT leejaeeun dualmoderadarsensorforindoorenvironmentmapping |