OBJECT CLASSIFICATION BASED ON ANALYSIS OF SPECTRAL CHARACTERISTICS OF THE ENVELOPES OF SEISMIC SIGNALS
Yu. V. Morozov, A. A. Spektor
Novosibirsk State Technical University, pr. Karla Marksa 20, Novosibirsk 630073
Keywords: классификация объектов, пассивная сейсмическая локация, спектральные признаки, метод максимального правдоподобия, object classification, passive seismic location, spectral features, maximum likelihood method
Subsection: ANALYSIS AND SYNTHESIS OF SIGNALS AND IMAGES
Abstract
A method for classifying moving objects having a seismic impact on the ground surface is proposed based on the statistical analysis of the envelopes of received signals. The values of the components of the amplitude spectrum of the envelopes obtained by Hilbert and Fourier transformations are used as a criterion of classification. Examples illustrating the statistical properties of spectra and the operation of the seismic classifier are given for an ensemble of objects of four classes (person, group of people, large animal, car). It is shown that the computing procedures for processing seismic signals are quite simple and can be used in real-time systems with modest requirements to computational resources.
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