Micro-Doppler signature for drone detection using FSR: a theoretical and experimental validation
Drone inexpensive and operational flexibility contributed to its exponential increase by civil users, apart from military applications. This resulted in posing threats due to drone misuses, such as smuggling, unlawful imaging and other significant vulnerability that makes its detection necessary. Th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-09-01
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| Series: | The Journal of Engineering |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0795 |
| _version_ | 1818565120575406080 |
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| author | Surajo Alhaji Musa Raja Abdullah Raja Syamsul Azmir Aduwati Sali Alyani Ismail Nur Emileen Abd Rashid |
| author_facet | Surajo Alhaji Musa Raja Abdullah Raja Syamsul Azmir Aduwati Sali Alyani Ismail Nur Emileen Abd Rashid |
| author_sort | Surajo Alhaji Musa |
| collection | DOAJ |
| description | Drone inexpensive and operational flexibility contributed to its exponential increase by civil users, apart from military applications. This resulted in posing threats due to drone misuses, such as smuggling, unlawful imaging and other significant vulnerability that makes its detection necessary. The study demonstrated a theoretical model of extracting the m-Doppler signature due to rotating blades of a quadcopter drone, in forward scattering radar (FSR) geometry. The model was further validated experimentally by using a parabolic dish antenna in the receiver system of the FSR geometry. Before these, some reported efforts made to detect the drone by using different methodologies such as acoustic, video, audio-visual, radio frequency, radar systems and other non-technical approaches like netting were briefly presented. The result of the authors’ investigation revealed that the drone could be detected from the signature generated due to rotating blades based on the blade orientation. This signature can further be used to identify the drone from other flying targets existing within the same surveillance area. |
| first_indexed | 2024-12-14T01:37:09Z |
| format | Article |
| id | doaj.art-205e400be9b6440ca98edc0a7a6cb60a |
| institution | Directory Open Access Journal |
| issn | 2051-3305 |
| language | English |
| last_indexed | 2024-12-14T01:37:09Z |
| publishDate | 2019-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Journal of Engineering |
| spelling | doaj.art-205e400be9b6440ca98edc0a7a6cb60a2022-12-21T23:21:51ZengWileyThe Journal of Engineering2051-33052019-09-0110.1049/joe.2019.0795JOE.2019.0795Micro-Doppler signature for drone detection using FSR: a theoretical and experimental validationSurajo Alhaji Musa0Raja Abdullah Raja Syamsul Azmir1Aduwati Sali2Alyani Ismail3Nur Emileen Abd Rashid4UPMUPMUPMUPMUniversiti Teknologi MARADrone inexpensive and operational flexibility contributed to its exponential increase by civil users, apart from military applications. This resulted in posing threats due to drone misuses, such as smuggling, unlawful imaging and other significant vulnerability that makes its detection necessary. The study demonstrated a theoretical model of extracting the m-Doppler signature due to rotating blades of a quadcopter drone, in forward scattering radar (FSR) geometry. The model was further validated experimentally by using a parabolic dish antenna in the receiver system of the FSR geometry. Before these, some reported efforts made to detect the drone by using different methodologies such as acoustic, video, audio-visual, radio frequency, radar systems and other non-technical approaches like netting were briefly presented. The result of the authors’ investigation revealed that the drone could be detected from the signature generated due to rotating blades based on the blade orientation. This signature can further be used to identify the drone from other flying targets existing within the same surveillance area.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0795radar detectionbladeshelicoptersdoppler radarremotely operated vehiclesgeometryradar antennasradar receiverssearch radarmicrodoppler signaturedrone inexpensive flexibilitymilitary applicationsrotating bladesforward scattering radar geometryparabolic dish antennareceiver systemfsr geometryquadcopter drone detectionm-doppler signature |
| spellingShingle | Surajo Alhaji Musa Raja Abdullah Raja Syamsul Azmir Aduwati Sali Alyani Ismail Nur Emileen Abd Rashid Micro-Doppler signature for drone detection using FSR: a theoretical and experimental validation The Journal of Engineering radar detection blades helicopters doppler radar remotely operated vehicles geometry radar antennas radar receivers search radar microdoppler signature drone inexpensive flexibility military applications rotating blades forward scattering radar geometry parabolic dish antenna receiver system fsr geometry quadcopter drone detection m-doppler signature |
| title | Micro-Doppler signature for drone detection using FSR: a theoretical and experimental validation |
| title_full | Micro-Doppler signature for drone detection using FSR: a theoretical and experimental validation |
| title_fullStr | Micro-Doppler signature for drone detection using FSR: a theoretical and experimental validation |
| title_full_unstemmed | Micro-Doppler signature for drone detection using FSR: a theoretical and experimental validation |
| title_short | Micro-Doppler signature for drone detection using FSR: a theoretical and experimental validation |
| title_sort | micro doppler signature for drone detection using fsr a theoretical and experimental validation |
| topic | radar detection blades helicopters doppler radar remotely operated vehicles geometry radar antennas radar receivers search radar microdoppler signature drone inexpensive flexibility military applications rotating blades forward scattering radar geometry parabolic dish antenna receiver system fsr geometry quadcopter drone detection m-doppler signature |
| url | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0795 |
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