Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Supersonic bullet state estimation using particle filtering

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Makinen, T. ; Dept. of Signal Process., Tampere Univ. of Technol., Tampere, Finland ; Pertila, P. ; Auranen, P.

Due to an increasing number of sniper attacks in different crises and security threats around the world, there is a need for new technologies and applications to take place in helping to prepare against such offensives. Estimation of sound wave direction of arrival (DOA) based on time differences between separate microphones is typically applied for sound source localization, and the existing research achievements of the field are utilized in the presented study. In this paper, a new method for estimating the state of a supersonic bullet is proposed. State is defined here to consist of bullet's trajectory, caliber, and speed. The method is based on a mathematical modeling of the bullet shock wave, and the parameter estimation procedure is built over the Bayesian inference. Both simulations and real shooting data are used to test and verify the performance of the proposed method. Bringing shock wave modeling and Bayesian inference together is the main focus of the study.

Published in:

Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on

Date of Conference:

18-19 Nov. 2009