0000000000294788

AUTHOR

Joshi Soumya

showing 1 related works from this author

Classification of Targets Using Statistical Features from Range FFT of mmWave FMCW Radars

2021

Radars with mmWave frequency modulated continuous wave (FMCW) technology accurately estimate the range and velocity of targets in their field of view (FoV). The targeted angle of arrival (AoA) estimation can be improved by increasing receiving antennas or by using multiple-input multiple-output (MIMO). However, obtaining target features such as target type remains challenging. In this paper, we present a novel target classification method based on machine learning and features extracted from a range fast Fourier transform (FFT) profile by using mmWave FMCW radars operating in the frequency range of 77–81 GHz. The measurements are carried out in a variety of realistic situations, including p…

mmWave radarrange FFT featuresTK7800-8360Computer Networks and CommunicationsComputer scienceVDP::Technology: 500Fast Fourier transformReal-time computingtargets classificationFMCW radarSupport vector machineContinuous-wave radarStatistical classificationNaive Bayes classifiermachine learningautonomous systemsHardware and ArchitectureControl and Systems EngineeringFeature (computer vision)Angle of arrivalSignal Processingground station radarGradient boostingElectrical and Electronic EngineeringElectronics
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