Localization of Gunfire from Multiple Shooters (ARO Research Topic 5.2, Information Processing and Fusion; STIR Program)
Abstract
Soldier-wearable gunfire detection systems (SW-GDS) are important for situational awareness because they provide an estimate of the shooter's location and the trajectory of the bullet. Individual SW-GDS units provide an estimate of the range and bearing to the shooter for each shot, as well as "raw" data that includes time-of-arrival (TOA) and direction-of-arrival (DOA) of the muzzle blast (MB) produced by the weapon and the shock wave (SW) produced by the supersonic bullet. The localization accuracy is improved with data fusion between networked SW-GDS sensor units. We study models for bullet deceleration and develop efficient localization algorithms that explicitly incorporate the deceleration models in the data fusion. Localization algorithms are developed for individual SW-GDS units and fusion of networked SW-GDS units. A statistical analysis of mismatch between the assumed model and actual deceleration is performed, and the localization algorithms are tested with simulations and measured data. The deceleration models and localization algorithms are described in detail in a technical report.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 03, 2016
- Accession Number
- AD1010407
Entities
People
- Richard J. Kozick
Organizations
- Bucknell University