A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals
This paper proposes a low-complexity frequency-modulated continuous wave (FMCW) surveillance radar algorithm using random dual chirps in order to overcome the blind-speed problem and reduce the computational complexity. In surveillance radar algorithm, the most widely used moving target indicator (M...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/3/608 |
_version_ | 1817995867899035648 |
---|---|
author | Bong-seok Kim Youngseok Jin Sangdong Kim Jonghun Lee |
author_facet | Bong-seok Kim Youngseok Jin Sangdong Kim Jonghun Lee |
author_sort | Bong-seok Kim |
collection | DOAJ |
description | This paper proposes a low-complexity frequency-modulated continuous wave (FMCW) surveillance radar algorithm using random dual chirps in order to overcome the blind-speed problem and reduce the computational complexity. In surveillance radar algorithm, the most widely used moving target indicator (MTI) algorithm is proposed to effectively remove clutter. However, the MTI algorithm has a so-called ‘blind-speed problem’ that cannot detect a target of a specific velocity. In this paper, we try to solve the blind-speed problem of MTI algorithm by randomly selecting two beat signals selected for MTI for each frame. To further reduce the redundant complexity, the proposed algorithm first performs one-dimensional fast Fourier transform (FFT) for range detection and performs multidimensional FFT only when it is determined that a target exists at each frame. The simulation results show that despite low complexity, the proposed algorithm detects moving targets well by avoiding the problem of blind speed. Furthermore, the effectiveness of the proposed algorithm was verified by performing an experiment using the FMCW radar system in a real environment. |
first_indexed | 2024-04-14T02:13:38Z |
format | Article |
id | doaj.art-cc5e80ed6acb41a7a0f8af8d5fe7b06f |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-14T02:13:38Z |
publishDate | 2019-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-cc5e80ed6acb41a7a0f8af8d5fe7b06f2022-12-22T02:18:19ZengMDPI AGSensors1424-82202019-01-0119360810.3390/s19030608s19030608A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat SignalsBong-seok Kim0Youngseok Jin1Sangdong Kim2Jonghun Lee3Advanced Radar Technology Laboratory, DGIST, Daegu 42988, KoreaAdvanced Radar Technology Laboratory, DGIST, Daegu 42988, KoreaAdvanced Radar Technology Laboratory, DGIST, Daegu 42988, KoreaAdvanced Radar Technology Laboratory, DGIST, Daegu 42988, KoreaThis paper proposes a low-complexity frequency-modulated continuous wave (FMCW) surveillance radar algorithm using random dual chirps in order to overcome the blind-speed problem and reduce the computational complexity. In surveillance radar algorithm, the most widely used moving target indicator (MTI) algorithm is proposed to effectively remove clutter. However, the MTI algorithm has a so-called ‘blind-speed problem’ that cannot detect a target of a specific velocity. In this paper, we try to solve the blind-speed problem of MTI algorithm by randomly selecting two beat signals selected for MTI for each frame. To further reduce the redundant complexity, the proposed algorithm first performs one-dimensional fast Fourier transform (FFT) for range detection and performs multidimensional FFT only when it is determined that a target exists at each frame. The simulation results show that despite low complexity, the proposed algorithm detects moving targets well by avoiding the problem of blind speed. Furthermore, the effectiveness of the proposed algorithm was verified by performing an experiment using the FMCW radar system in a real environment.https://www.mdpi.com/1424-8220/19/3/608FMCW radarsurveillancelow complexityDoppler |
spellingShingle | Bong-seok Kim Youngseok Jin Sangdong Kim Jonghun Lee A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals Sensors FMCW radar surveillance low complexity Doppler |
title | A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals |
title_full | A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals |
title_fullStr | A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals |
title_full_unstemmed | A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals |
title_short | A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals |
title_sort | low complexity fmcw surveillance radar algorithm using two random beat signals |
topic | FMCW radar surveillance low complexity Doppler |
url | https://www.mdpi.com/1424-8220/19/3/608 |
work_keys_str_mv | AT bongseokkim alowcomplexityfmcwsurveillanceradaralgorithmusingtworandombeatsignals AT youngseokjin alowcomplexityfmcwsurveillanceradaralgorithmusingtworandombeatsignals AT sangdongkim alowcomplexityfmcwsurveillanceradaralgorithmusingtworandombeatsignals AT jonghunlee alowcomplexityfmcwsurveillanceradaralgorithmusingtworandombeatsignals AT bongseokkim lowcomplexityfmcwsurveillanceradaralgorithmusingtworandombeatsignals AT youngseokjin lowcomplexityfmcwsurveillanceradaralgorithmusingtworandombeatsignals AT sangdongkim lowcomplexityfmcwsurveillanceradaralgorithmusingtworandombeatsignals AT jonghunlee lowcomplexityfmcwsurveillanceradaralgorithmusingtworandombeatsignals |