Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3775
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dc.contributor.authorMandal, Priti-
dc.contributor.authorRoy, Lakshi Prosad-
dc.contributor.authorDas, Santos Kumar-
dc.date.accessioned2022-12-01T12:47:35Z-
dc.date.available2022-12-01T12:47:35Z-
dc.date.issued2022-11-
dc.identifier.citationIEEE 19th India Council International Conference (INDICON), Kochi, Kerala, 24th - 26th November 2022en_US
dc.identifier.urihttp://hdl.handle.net/2080/3775-
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractEasy availability of the Drones/Unmanned Aerial Vehicles (UAVs) may lead to a carping situation. This makes it important to detect the presence of the Intruder drone in any particular area. Towards this matter, work is taken up on detection of intruder drone using UAV Borne Radar (UAVBR) via Reconfigurable Intelligent Reflective Surface (IRS). Direct Line of Sight (LoS) scenario may occur while detection of intruder drone but signal may be weak. So, to increase the probability of detection of intruder drone Reconfigurable IRS is used with various pattern of IRS such as Uniform Linear Array (ULA), Uniform Rectangular Array (URA) and Uniform Circular Array (UCA). Further, performance analysis is done by considering different parameters in Matlab software.en_US
dc.subjectIntruder Droneen_US
dc.subjectUAVBRen_US
dc.subjectReconfigurable IRSen_US
dc.subjectDetectionen_US
dc.titleIntruder Drone Detection using Unmanned Aerial Vehicle Borne Radar (UAVBR) via Reconfigurable Intelligent Reflective Surface (IRS)en_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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