Low-Slow-Small (LSS) target detection based on micro doppler analysis in forward scattering radar geometry

The increase in drone misuse by civilian apart from military applications is alarming and need to be addressed. This drone is characterized as a low altitude, slow speed, and small radar cross-section (RCS) (LSS) target and is considered difficult to be detected and classified among other biological...

Full description

Saved in:
Bibliographic Details
Main Authors: Musa, Surajo Alhaji, Raja Abdullah, Raja Syamsul Azmir, Sali, Aduwati, Ismail, Alyani, Abdul Rashid, Nur Emileen
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81254/1/DOPPLER.pdf
http://psasir.upm.edu.my/id/eprint/81254/
https://www.mdpi.com/1424-8220/19/15/3332
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.81254
record_format eprints
spelling my.upm.eprints.812542021-06-16T02:45:06Z http://psasir.upm.edu.my/id/eprint/81254/ Low-Slow-Small (LSS) target detection based on micro doppler analysis in forward scattering radar geometry Musa, Surajo Alhaji Raja Abdullah, Raja Syamsul Azmir Sali, Aduwati Ismail, Alyani Abdul Rashid, Nur Emileen The increase in drone misuse by civilian apart from military applications is alarming and need to be addressed. This drone is characterized as a low altitude, slow speed, and small radar cross-section (RCS) (LSS) target and is considered difficult to be detected and classified among other biological targets, such as insects and birds existing in the same surveillance volume. Although several attempts reported the successful drone detection on radio frequency-based (RF), thermal, acoustic, video imaging, and other non-technical methods, however, there are also many limitations. Thus, this paper investigated a micro-Doppler analysis from drone rotating blades for detection in a special Forward Scattering Radar (FSR) geometry. The paper leveraged the identified benefits of FSR mode over conventional radars, such as improved radar cross-section (RCS) value irrespective of radar absorbing material (RAM), direct signal perturbation, and high resolutions. To prove the concept, a received signal model for micro-Doppler analysis, a simulation work, and experimental validation are elaborated and explained in the paper. Two rotating blades aspect angle scenarios were considered, which are (i) when drone makes a turn, the blade cross-sectional area faces the receiver and (ii) when drone maneuvers normally, the cross-sectional blade faces up. The FSR system successfully detected a commercial drone and extracted the micro features of a rotating blade. It further verified the feasibility of using a parabolic dish antenna as a receiver in FSR geometry; this marked an appreciable achievement towards the FSR system performance, which in future could be implemented as either active or passive FSR system. Multidisciplinary Digital Publishing Institute 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81254/1/DOPPLER.pdf Musa, Surajo Alhaji and Raja Abdullah, Raja Syamsul Azmir and Sali, Aduwati and Ismail, Alyani and Abdul Rashid, Nur Emileen (2019) Low-Slow-Small (LSS) target detection based on micro doppler analysis in forward scattering radar geometry. Sensors, 19 (15). pp. 1-20. ISSN 1424-3210; ESSN: 1424-8220 https://www.mdpi.com/1424-8220/19/15/3332 10.3390/s19153332
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The increase in drone misuse by civilian apart from military applications is alarming and need to be addressed. This drone is characterized as a low altitude, slow speed, and small radar cross-section (RCS) (LSS) target and is considered difficult to be detected and classified among other biological targets, such as insects and birds existing in the same surveillance volume. Although several attempts reported the successful drone detection on radio frequency-based (RF), thermal, acoustic, video imaging, and other non-technical methods, however, there are also many limitations. Thus, this paper investigated a micro-Doppler analysis from drone rotating blades for detection in a special Forward Scattering Radar (FSR) geometry. The paper leveraged the identified benefits of FSR mode over conventional radars, such as improved radar cross-section (RCS) value irrespective of radar absorbing material (RAM), direct signal perturbation, and high resolutions. To prove the concept, a received signal model for micro-Doppler analysis, a simulation work, and experimental validation are elaborated and explained in the paper. Two rotating blades aspect angle scenarios were considered, which are (i) when drone makes a turn, the blade cross-sectional area faces the receiver and (ii) when drone maneuvers normally, the cross-sectional blade faces up. The FSR system successfully detected a commercial drone and extracted the micro features of a rotating blade. It further verified the feasibility of using a parabolic dish antenna as a receiver in FSR geometry; this marked an appreciable achievement towards the FSR system performance, which in future could be implemented as either active or passive FSR system.
format Article
author Musa, Surajo Alhaji
Raja Abdullah, Raja Syamsul Azmir
Sali, Aduwati
Ismail, Alyani
Abdul Rashid, Nur Emileen
spellingShingle Musa, Surajo Alhaji
Raja Abdullah, Raja Syamsul Azmir
Sali, Aduwati
Ismail, Alyani
Abdul Rashid, Nur Emileen
Low-Slow-Small (LSS) target detection based on micro doppler analysis in forward scattering radar geometry
author_facet Musa, Surajo Alhaji
Raja Abdullah, Raja Syamsul Azmir
Sali, Aduwati
Ismail, Alyani
Abdul Rashid, Nur Emileen
author_sort Musa, Surajo Alhaji
title Low-Slow-Small (LSS) target detection based on micro doppler analysis in forward scattering radar geometry
title_short Low-Slow-Small (LSS) target detection based on micro doppler analysis in forward scattering radar geometry
title_full Low-Slow-Small (LSS) target detection based on micro doppler analysis in forward scattering radar geometry
title_fullStr Low-Slow-Small (LSS) target detection based on micro doppler analysis in forward scattering radar geometry
title_full_unstemmed Low-Slow-Small (LSS) target detection based on micro doppler analysis in forward scattering radar geometry
title_sort low-slow-small (lss) target detection based on micro doppler analysis in forward scattering radar geometry
publisher Multidisciplinary Digital Publishing Institute
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/81254/1/DOPPLER.pdf
http://psasir.upm.edu.my/id/eprint/81254/
https://www.mdpi.com/1424-8220/19/15/3332
_version_ 1703962152673476608
score 13.18916