Automatic algorithm for estimating the jet engine blade number from the radar target signature of aircraft targets

Generic aircraft model recognition by two shape factors: in the resonance region

“…[1–8], the jet engine modulation (JEM) model, e.g. [9–13], the complex natural resonance (CNR) model, e.g. [14–24], and the optimum polarisation states (OPSs) [25–30].…”

Micro-Doppler Gesture Recognition using Doppler, Time and Range Based Features

“…Micro-Doppler signals represent the component of a targets signature generated by vibration, rotation and so on modulated on top of the main bulk velocity and was first fully characterized by V. Chen [1]. These signatures contain a great deal of information and this has been exploited for broad range of different applications, including Jet Engine Modulation (JEM) analysis [2], analysis of ballistic target tumbling [3] and discrimination between bird and drone targets [4].…”

Binary Stokes vector representation of aircraft in the low‐resolution radar context

“…By comparison, high‐resolution radar technology operating at high‐radar bands, e.g. S‐band, exploits the optical scattering region to derive the high‐resolution range profile signature [1–5] or the micro‐Doppler shifts to derive the jet engine modulation (JEM) signature [6–10]. Only a few researchers have attempted to fit the JEM signature in low‐resolution radar systems in a satisfactory manner at the cost of an increased computational overhead [11, 12].…”