Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/3775
Title: | Intruder Drone Detection using Unmanned Aerial Vehicle Borne Radar (UAVBR) via Reconfigurable Intelligent Reflective Surface (IRS) |
Authors: | Mandal, Priti Roy, Lakshi Prosad Das, Santos Kumar |
Keywords: | Intruder Drone UAVBR Reconfigurable IRS Detection |
Issue Date: | Nov-2022 |
Citation: | IEEE 19th India Council International Conference (INDICON), Kochi, Kerala, 24th - 26th November 2022 |
Abstract: | Easy 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. |
Description: | Copyright belongs to proceeding publisher |
URI: | http://hdl.handle.net/2080/3775 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2022_INDICON_SKDas_Intruder.pdf | 738.99 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.