Classification of Military Ground Vehicles Using Time Domain Harmonics' Amplitudes

Abstract

This paper investigates the localization and classification of ground vehicles using a field of microsensor systems employing acoustic, seismic, and magnetic sensors at each node location. Specific results will focus on the ability of individual nodes to detect ground vehicle targets of varying types and provide information on those vehicles. We also discuss the fusion of information from multiple nodes to further enhance target information over time

Design of an Acoustic Target Classification System Based on Small-Aperture Microphone Array

“…Since the engine, propulsion, and exhaust system originate in mechanical rotation mechanisms, so all of them produce periodic sounds, but since these pressure waveforms are not purely sinusoidal, their spectra contains fundamental frequencies and corresponding harmonics [2]. Therefore, the interested spectral contents of the targets are consisted of a limited number of pitch, harmonics, and some high-frequency components [18].…”

“…Target classification is one of the most important and demanding technologies for UGS [2]. Compared with seismic, image, and infrared signals, moving target classification approach based on acoustic signals provides a simple, portable, easily implemented, and biologically safe scheme [4]- [6].…”

“…Compared with seismic, image, and infrared signals, moving target classification approach based on acoustic signals provides a simple, portable, easily implemented, and biologically safe scheme [4]- [6]. Therefore, the research of acoustic target classification has been received various attentions [2], [7]- [9]. The previous classification algorithms of the acoustic signal can achieve satisfied performances in the condition of pure signal, nevertheless, the results will degrade when the signal is contaminated by the noise [10].…”

Target Classification Using Pyroelectric Infrared Sensors in Unattended Wild Ground Environment

“…Therefore it is natural to use PIR sensors to detect multitarget and classify them. For instance, they can be used to classify military vehicles instead of acoustic sensors that are sensitive to wind noise [15].…”

A Multistage Procedure of Mobile Vehicle Acoustic Identification for Single-Sensor Embedded Device

“…The civilian applications of moving motor vehicle identification vary from speed limit control to traffic density analysis and traffic behavior prediction. Military uses involve reconnaissance and identification of friendly over enemy craft [1]. The most important aspect of such monitoring systems is real-time computation and timely result processing as the nature of the problem most often implies time-critical operation.…”