Performance Analysis of Centroid and SVD Features for Personnel Recognition Using Multistatic Micro-Doppler PROJECT TITLE :Performance Analysis of Centroid and SVD Features for Personnel Recognition Using Multistatic Micro-DopplerABSTRACT:During this letter, we tend to investigate the utilization of micro-Doppler signatures experimentally recorded by a multistatic radar system to perform recognition of folks walking. 3 different sets of features are tested, taking under consideration the impact on the classification performance of parameters, like facet angle, types of classifier, different values of signal-to-noise ratio, and totally different ways that of exploiting multistatic info. High classification accuracy of on top of 98% is reported for the most favorable aspect angle, and the benefit of using multistatic data at less favorable angles is discussed. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Ku Band Continuously Tunable Circular Cavity SIW Filter With One Parameter Broadband measurement of high permittivity at millimetre-wave frequencies