Tracking system to maximize the engagement envelope of a data linked weapon

James M. Davies; Jason F. Ralph; Neil P. Oxtoby

doi:10.1117/12.883021

5 May 2011 Tracking system to maximize the engagement envelope of a data linked weapon

James M. Davies, Jason F. Ralph, Neil P. Oxtoby

Proceedings Volume 8050, Signal Processing, Sensor Fusion, and Target Recognition XX; 805007 (2011) https://doi.org/10.1117/12.883021
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

This paper presents the results of an integrated target tracking, pursuit and intercept strategy. It is designed to maximize the overlap between the engagement envelope of a data linked weapon and the possible predicted locations of an agile target. Once the target track has been initialized, a Markov Model calculates all possible locations of the target up to the time of intercept, approximately 30 seconds from launch. These locations and associated probabilities are updated during the tracking process. This includes target maneuvers, which are detected using an IMM estimator. The engagement envelope is maximized at fixed points in time. In doing so the intercept decision is delayed until, there is a high probability of a successful interception.

Citation Download Citation

James M. Davies, Jason F. Ralph, and Neil P. Oxtoby "Tracking system to maximize the engagement envelope of a data linked weapon", Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 805007 (5 May 2011); https://doi.org/10.1117/12.883021

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available