Robust Passive and Active Track Fusion in a Distributed and Decentralized Architecture

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9113M-08-C-0081
Agency Tracking Number: A072-137-2799
Amount: $70,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2007
Solicitation Topic Code: A07-137
Solicitation Number: 2007.2
Small Business Information
6800 Cortona Drive, Goleta, CA, 93117
DUNS: 054672662
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Mahendra Mallick
 Senior Scientist
 (805) 968-6787
Business Contact
 Marcella Lindbery
Title: Director of Finance and Contracts
Phone: (805) 968-6787
Research Institution
This proposal addresses the problem of angle-only tracking of multiple jammer strobes in 3D by a distributed network of passive sensors with decentralized track processing. The challenges are (1) to develop robust algorithms for signal and/or data processing to associate measurements unambiguously from one sensor to others in the network (that is, “deghost” the possible intersections of jammer strobes), (2) to associate and track for various sensor/target geometries, (3) to be insensitive to data timeliness, and (4) to transition to single-unit tracking where feasible. We propose to develop robust algorithms and software by leveraging on Toyon’s existing multiple-hypothesis tracking (MHT) framework for 3D passive tracking and fusion of passive tracks in a distributed sensor network. For the passive tracking problem, we shall develop range-parameterized extended Kalman filter algorithms and software in MHT using the modified spherical polar coordinates (MSC). We shall add a number dynamic models using the MSC to the interacting multiple model component of MHT to handle maneuvering targets. Initially, we shall demonstrate track-to-track fusion of active and passive tracks using the convex combination algorithm and information filter.

* information listed above is at the time of submission.

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