Sniper Fire Localization using Wireless Sensor Networks and Genetic Algorithm based Data Fusion

This paper presents the design, implementation and performance evaluation of a wireless sensor network based sniper fire localization system. Time-of-arrival (TOA) measurements from various sensor nodes are fused together for estimating various parameters of a supersonic projectile, including its tr...

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Bibliographic Details
Published inMILCOM 2007 - IEEE Military Communications Conference pp. 1 - 8
Main Authors Kuckertz, Patrick, Ansari, Junaid, Riihijarvi, Janne, Mahonen, Petri
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2007
Subjects
Algorithm design and analysis
Fires
Genetic algorithms
Projectiles
Protection
Sensor fusion
Sensor systems
Velocity measurement
Weapons
Wireless sensor networks
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Summary:This paper presents the design, implementation and performance evaluation of a wireless sensor network based sniper fire localization system. Time-of-arrival (TOA) measurements from various sensor nodes are fused together for estimating various parameters of a supersonic projectile, including its trajectory and speed. Our system uses a genetic algorithm based data fusion framework. The system uses a novel approach for the selection of TOA measurements. We obtained very low error bounds both in the trajectory and velocity estimation results. We believe that the presented comprehensive design details of different components of the system, the developed simulation tool and the validation of results from real shooting experiments will be useful to the community.
ISBN:9781424415120
1424415128
ISSN:2155-7578
2155-7586
DOI:10.1109/MILCOM.2007.4455157