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Unified Bayesian Cluster Target Tracking and Discrimination

Award Information

Agency:
Department of Defense
Branch:
Missile Defense Agency
Award ID:
58679
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
99-0057
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000 Woburn, MA 01801-
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2002
Title: Unified Bayesian Cluster Target Tracking and Discrimination
Agency / Branch: DOD / MDA
Contract: DASG60-03-C-0016
Award Amount: $0.00
 

Abstract:

"Most single- and multi-target tracking algorithms are designed to track point targets.However, in many real-world applications the targets of interest are not point targets butEXTENDED TARGETS and GROUP TARGETS, e.g. missile re-entry clusters.Under this effort we propose a systematic, fully probabilistic, and theoretically rigorousapproach to cluster target tracking and discrimination. Our approach is a direct generalizationof BAYES-OPTIMAL RECURSIVE NONLINEAR FILTERING THEORY to the multisource-multitarget realm.The overall objective is to develop innovative, speculative, high-risk technologiesfor enhancing either the Theater Missile Defense (TMD) or National Missile Defense (NMD) capabilities.Phase I showed the feasibility assessment for multitarget tracking/discrimination and ``bulk'' clustertracking by utilizing a novel approximation of multi-target non-linear filtering based on the spectralcompression (SPECC) non-linear filter (NLF) implementation of Stein-Winter probability hypothesis densities (PHDs).The Phase II objectives are to further develop, analyze, and refine the PHD filtering approach by extending the resultsof Phase I. Specific Phase II tasks are: (1) Implement multipeak extraction algorithms, (2) Implement alternativeNLF implementations of PHD, (3) Extend approach to Joint Track & Non-Cooperative Target Identification (NCTI), (4) Developdiscrimination-based information about clusters to determine presence or non-pr

Principal Investigator:

Adel I. El-Fallah
Senior Research Engineer
7819335355
adel@ssci.com

Business Contact:

Raman K. Mehra
President
7819335355
rkm@ssci.com
Small Business Information at Submission:

Scientific Systems Co., Inc.
500 West Cummings Park, Suite 3000 Woburn, MA 01801

EIN/Tax ID: 043053085
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No