VEHICLE CLASSIFICATION BASED ON THEIR GPS SIGNAL SHADOWS

The goal of this paper is to study algorithm for detection and classification of moving objects based on parameter estimates from their GPS signal shadow. The suggested algorithm uses satellite GPS signals to create radio barriers and to detect moving terrestrial targets. It can be examined as an algorithm for secondary application of the wireless technologies (SAWT). This technology is extremely modern and up-to-date and can find application in Industry 4.0 with regard to the reduction of the electromagnetic radiations. The GPS signals included shadow from several moving vehicles, processed in MATLAB environment in order to obtain the estimations of their parameters. In IBM SPSS Statistics, Scheffe test is used for classifying the moving objects. The results reveal that proposed signal processing of the GPS signal shadow combined with this statistical approach can be successfully applied in practice for object classification.