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UID:1-1610@aerospace.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20261116T133000

DTEND;TZID=Asia/Jerusalem:20261116T143000

DTSTAMP:20261018T092705Z

URL:https://aerospace.technion.ac.il/events/seminar-eliezer-azoulai-16nov2
 026/

SUMMARY:Radar target classification using RCS characteristics
DESCRIPTION:Lecturer:Eliezer Azoulai\n Faculty:The Stephen B. Klein Faculty
  of Aerospace Engineering\n Institute:Technion – Israel Institute of Tec
 hnology\n Location:Classroom 240\, 1st floor\, Aerospace Eng. building\n Z
 oom: https://technion.zoom.us/j/98372598857\n Abstract: This study investi
 gates the feasibility of classifying anti-tank threats\, specifically Rock
 et-Propelled Grenades (RPGs) and Anti-Tank Guided Missiles (ATGMs)\, based
  only on their Radar Cross Section (RCS) characteristics. A comprehensive 
 target RCS database was constructed using electromagnetic simulations\, an
 d radar tracking scenarios were simulated to generate dynamic RCS measurem
 ents under varying Signal-to-Noise Ratio (SNR) levels and carrier frequenc
 ies of 10\, 20\, and 40 GHz. Two primary classification approaches are eva
 luated: a correlation-based Fitting Method and an Artificial Intelligence 
 (AI) Method based on a Multi-Layer Perceptron (MLP) neural network. The re
 sults show that the Fitting Method achieves high classification accuracy\,
  exceeding 90%\, for non-rolling ATGM targets at 10 and 20 GHz. In contras
 t\, the AI Method demonstrates superior performance in classifying rolling
  RPG targets by effectively capturing their spectral roll characteristics\
 , particularly at SNR levels above 30 dB. At the higher carrier frequency 
 of 40 GHz\, the classification performance of both methods deteriorates\, 
 probably due to increased sensitivity to phase variations among multiple s
 cattering centers\, resulting in more rapid interference patterns in the R
 CS signature. The study concludes that an effective radar-based classifica
 tion architecture better  employs a hybrid framework\, combining the AI M
 ethod for rolling targets\, such as RPGs and with the Fitting Method for n
 on-rolling targets\, such as ATGMs.\n\nThis work is towards an M.Sc. degre
 e under the supervision of Prof. Gil Yudilevitch\, Aerospace Engineering\,
  Technion. Co-Advisor: Dr. Dotan Algranati.\n Details: \n 
CATEGORIES:Seminars
LOCATION:Classroom 240\, 1st floor\, Aerospace Eng. building

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