By Topic

Dynamic airborne sensor resource management for ground moving target tracking and classification

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)
Popp, R.L. ; ALPHATECH Inc., Burlington, MA, USA ; Bailey, A.W. ; Tsitsiklis, J.N.

In this paper we describe an algorithm for dynamic sensor resource management (SRM) of a multimode sensor for tracking and classification of ground moving targets. The sensor is an airborne mechanically steered radar that operates in ground moving target indicator (GMTI) and high range resolution (HRR) modes. The SRM problem is cast into an optimization framework with a multiobjective criteria, namely, minimize tracking kinematic and target classification uncertainties where Markov models and decision trees are utilized, respectively, to dynamically capture (at the frame revisit rate) the tracking and classification information state. The SRM algorithm derives a sensor collection schedule on a frame by frame basis utilizing tracking updates from a GMTI multiple hypothesis tracker (MHT) and classification updates from an HRR 1D automatic target recognition (ATR) algorithm. Preliminary results based on a simulated ground target scenario are presented demonstrating the inherent trade-offs between the two radar modes and the multiobjective SRM criteria

Published in:

Aerospace Conference Proceedings, 2000 IEEE  (Volume:3 )

Date of Conference:

2000