WebThe micro-Doppler features formed by the micro-motion of rotating blades of rotors and turbines are of great significance for aircraft target detection and recognition. Mastering the micro-motion features is the premise of radar target identification. The blades’ length and rotation rate are vital parameters for classifying aircraft targets. WebThe book presents code for simulating radar backscattering from targets with various motions, generating micro-Doppler signatures, and analyzing the characteristics of …
A Doppler Range Compensation for Step-Frequency Continuous …
WebWe introduce the micro-Doppler phenomenon in radar, develop a model of Doppler modulations, derive formulas of micro-Doppler induced by targets with vibration, rotation, tumbling and coning motions, and verify them by simulation studies, analyze time-varying … Authors - Micro-Doppler effect in radar: phenomenon, model, and simulation stud… Figures - Micro-Doppler effect in radar: phenomenon, model, and simulation study … Citations - Micro-Doppler effect in radar: phenomenon, model, and simulation stud… WebJun 5, 2024 · One of the most obvious micro-motion characteristics of the UAV is the radar micro-Doppler effect generated by the rotor rotation. Recently, many works 7, 18, 19 have analyzed its micro-Doppler characteristics to identify and classify UAVs, but they have not solved the problem of multi-rotor UAV recognition. documentary about netflix and blockbuster
The micro-doppler effect in radar (2011 edition) Open …
WebMay 28, 2024 · Micro Doppler (m-D) effect is a phenomenon that provides signatures to discriminate different moving objects. Accordingly, this paper presents a novel residual convolutional neural network that can classify different moving targets based on m-D analysis of reflected frequency modulation continuous wave (FMCW) radar signals. WebNov 22, 2024 · Personal identification based on radar gait measurement is an important application of biometric technology because it enables remote and continuous … WebSep 8, 2013 · This work addresses the problem of automatic target recognition (ATR) using micro-Doppler information obtained by a low-resolution ground surveillance radar. An improved Naive Bayes nearest neighbor approach denoted as O2 NBNN that was recently introduced for image classification, is adapted here to the radar target recognition … documentary about plant based diet