WebThe book presents code for simulating radar backscattering from targets with various motions, generating micro-Doppler signatures, and analyzing the characteristics of … Webradar, micro-Doppler effect in wideband radar, micro-Doppler effect in bistatic radar, micro-Doppler feature analysis and extraction, and three-dimensional micro-motion feature …
Introduction to Micro-Doppler Effects - MATLAB
WebMay 1, 2024 · A current disadvantage, in comparison to optical imagery, is that radar micro-Doppler data is much less common and more challenging to generate or access. Image classification is a mature area of computer science and has benefited greatly from the creation of the ImageNet dataset [ 5 ], which enabled the rapid progression of image ... WebThe book includes coverage of the Google project “Soli”, which demonstrated the use of radar micro-Doppler effect to sense and recognize micro motions of human hand gesture for controlling devices. It also discusses noncontact detection of human vital sign (micro motions of breathing and heart beating) using radar, another important ... easton fastpitch ghost advanced
The Micro-doppler Effect in Radar - Victor C. Chen
WebMar 31, 2010 · Micro-Doppler effect in radar: phenomenon, model, and simulation study. IEEE Transactions on Aerospace and Electronic Systems, 42(2006)1, 2–21. Article Google Scholar Y. Yang, J. Lei, W. Zhang, et al.. Target classification and pattern recognition using micro-Doppler radar signatures. Proceedings-Seventh ACIS International Conference on ... 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 … WebJan 7, 2024 · Micro-Doppler Based Target Recognition With Radars: A Review Abstract: With the deployment of radar in versatile scenarios and a wide variety of potential targets, demand for automatic classification of various targets is increasing. culver city youtube