Coupled Tracker and Identification Algorithms

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$100,000.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
F33615-02-M-1219
Award Id:
57704
Agency Tracking Number:
021SN-2424
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Suite A, 75 Aero Camino, Goleta, CA, 93117
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
054672662
Principal Investigator:
Craig Agate
Senior Analyst
(805) 968-6787
cagate@toyon.com
Business Contact:
Michael VanBlaricum
President
(805) 968-6787
mvanblaricum@toyon.com
Research Institution:
n/a
Abstract
"Toyon Research proposes to develop a particle filter-based Bayesian state estimation algorithm. Motivated by the increasing availability of high-range-resolution radar (HRRR) data and the benefits of incorporating "feature" information into trackingalgorithms, we will develop a particle filtering algorithm which utilizes feature information in HRRR data for coupled tracking and identification. Several attributes make the particle filter an attractive approach for the joint tracking andidentification of multiple ground targets. Specifically, (1) Particle filters do not rely on linearity or require Gaussian likelihoods and naturally handle non-Gaussian likelihood functions or those available through table look-up only. (2) Formulti-target tracking, no propagation of association hypotheses is required to obtain the optimal Bayesian solution. It is sufficient to generate hypotheses at the current frame only. (3) The state space geometry is no impediment to implementing theparticle filter; thus, road-constrained ground tracking is easily accomplished without ad-hoc approximations. The resulting multi-target joint tracking and identification algorithm will be evaluated using an event-based simulation called SLAMEM.Implementing the filter within the simulation will allow for an analysis and demonstration of the filter's required run-time for cases with large numbers of targets. The successful completion of this research shall result

* information listed above is at the time of submission.

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