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

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Sep 05, 2014
Accession Number
ADA613583

Entities

People

  • Jemin George
  • Lance Kaplan
  • Richard W. Osborne Iii
  • Yaakov Bar-Shalom

Organizations

  • University of Connecticut

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Acoustic Signals
  • Algorithms
  • Data Association
  • Data Fusion
  • Detection
  • Detectors
  • False Alarms
  • Information Processing
  • Measurement
  • Multitarget Tracking
  • New York
  • Passive Sensors
  • Sensor Networks
  • Small Arms
  • Target Recognition
  • Warning Systems
  • Wireless Sensor Networks

Fields of Study

  • Engineering

Readers

  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design

Technology Areas

  • Space
  • Space - Space Objects