Acoustic Localization of Transient Signals with Wind Compensation.

摘要

Accurate target localization of hostile weapons fire is an area of interest for the U.S. Army. While visual cues may provide a point of origin of weapon s fire, the acoustic signal of the shot can give a more accurate estimate. Using multiple microphone arrays, the position of a source can be estimated by using estimated times of arrival (TOAs) and angles of arrival (AOAs) computed at each array. However, noise from other sources reduces the accuracy of the algorithms. Wind reduces localization accuracy by adding bias to the AOA and TOA estimates. In some instances, wind data are not collected. Blind wind estimation can still be used to adjust localization results. The goal of this work is to take impulsive acoustic data collected with four microphone arrays and estimate the location of the source with an algorithm that accounts for the effect of wind. The model uses constant wind speed. The source location is estimated using least squares and maximum likelihood algorithms. The results indicate that there are improvements in localization accuracy using algorithms processed with meteorological data and blind wind estimation techniques.