Abstract
The localization of various acoustic sources in a battlefield (such as weapon rounds, mortars, rockets, mines, improvised explosive devices, vehicle-borne improvised explosive devices and airborne vehicles) nowadays has significant history. In acoustic source localization systems multiple sensors (such as microphones or microphone arrays), placed at known positions and networked, are used to detect signals emitted from the source and perform localization of the source. In this paper, Discrete Probability Density (DPD) method, as a method for position determination, has been used to estimate location of acoustic sources such as artillery weapons. Wavelet decomposition of the acoustic signal enables to emphasize N-wave in the time domain. Time of Arrival (TOA) estimation is realized by a statistical analysis of narrow time segment which hold N-wave. Based on the estimated TOA Time Difference of Arrival (TDOA) is calculated. TDOA presents relative time difference of arrival of the sound signal between pairs of sensors. Localization of the acoustic sources is performed by time difference estimation of acoustic signal arrivals using Discrete Probability Density method. A number of experiments with fire off mortar projectiles have been conducted in order to verify the performance of the proposed approach.
Highlights
THE localization of various acoustic sources in a battlefield nowadays has significant history
Validation of the proposed method for acoustic source localization is done during three field experiments in different time period
After the initial - rough estimation of the mortar position, new area of interest (AOI) is formed around previously estimated position of the acoustic source with same grid dimensions of 40×40, but with improved spatial resolution
Summary
THE localization of various acoustic sources in a battlefield (weapon rounds, mortars, rockets, mines, improvised explosive devices, vehicle-borne improvised explosive devices and airborne vehicles) nowadays has significant history. The estimated parameters are sent to the central sensor in order to determine the emitter positions All of these methods utilize the sound recordings of the sensors to calculate the most probable source location. The first step of the proposed method is performed at the sensors where TOA is determined (certain points of the acoustic signals are marked) These TOAs from all the sensors are recorded and sent to the central processing unit. In the second step the central processing unit calculates Time Difference of Arrival (TDOA) between sensors to obtain the position of the signal source using the DPD method. Estimation of the moment, which belongs to N-wave, is performed by the analysis of an appropriate wavelet coefficients of the acoustic signal in time and amplitude domain This method enables to estimate TOA of an N-wave with the acceptable accuracy.
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