Data Fusion from Multiple Passive Sensors for Multiple Shooter Localization via Assignment

This work examines the extension of a recently developed single target acoustic localization system to multiple targets. Multiple passive sensors distributed in a region of space will detect the acoustic signal of multiple gunfire events and measure the bearing to the event as well as the time the s...

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Bibliographic Details
Main Authors: Osborne, III, Richard W, Bar-Shalom, Yaakov, George, Jemin, Kaplan, Lance
Format: Report
Language:English
Subjects:
ACOUSTIC DETECTION
Acoustic Detection and Detectors
ACOUSTIC DETECTORS
ACOUSTIC LOCALIZATION
ASSIGNMENT
DATA FUSION
GUNFIRE
PASSIVE LOCALIZATION
PASSIVE SYSTEMS
PE611102
SENSOR FUSION
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Summary:This work examines the extension of a recently developed single target acoustic localization system to multiple targets. Multiple passive sensors distributed in a region of space will detect the acoustic signal of multiple gunfire events and measure the bearing to the event as well as the time the signal was detected. In order to alleviate the data association problem, an assignment-based method was developed in order to associate measurements at a fusion center, which will provide estimates of the multiple shooter locations. The assignment based approach is shown to localize multiple closely spaced shooters with a high degree of accuracy. Presented at the 17th International Conference on Information Fusion, Salamanca, Spain, Jul 2014. The original document contains color images.