Distributed Decentralized Fusion for Developing a Common Undersea Scene

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$70,000.00
Award Year:
2003
Program:
SBIR
Phase:
Phase I
Contract:
N00014-03-M-0027
Agency Tracking Number:
N022-1097
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
ALPHATECH, INC.
50 Mall Road, Burlington, MA, 01803
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
094841665
Principal Investigator:
Dale Klamer
Vice President
(781) 273-3388
dale.klamer@alphatech.com
Business Contact:
Andrew Mullin
General Counsel/Dir. of C
(781) 273-3388
andy.mullin@alphatech.com
Research Institution:
n/a
Abstract
Naval C4ISR systems are inherently distributed, relying on a variety of platforms and sensors to supply various aspects of the littoral battlespace. The ASW and MCM commanders require an accurate and timely scene that is developed within a network-centricinfrastructure, with the ultimate goal of maintaining a consistent portrayal of the battlespace among dispersed warfighters. Critical issues that hinder development of a consistent undersea picture across distributed C2 nodes include shared sensor dataacross multiple platforms, bandwidth constraints in exchanging information, interfacing with legacy systems, registration errors, and communication latencies.Multi-platform, decentralized tracking has the potential to outperform centralized tracking approaches in the real world. We leverage our experience in multi-source hierarchical tracking and fusion to develop baseline algorithms that include an efficientapproach to distributed multi-hypothesis tracking, cutting edge nonlinear filtering, mixed detection-level and track-level processing, and a recursive approach to track fusion that supports real-time processing. New capabilities to be developed include:adaptive tracklet formation algorithms that reflect target dynamics, target interaction, network loading, and real time demands; network-centric data association algorithms that preserve ambiguities to downstream decision-making processes; effectivetracklet processing algorithms that account for correlation, sensor measurements, and context data; and bias estimation and compensation algorithms. The proposed technology will help support network-centric multi-sensor multi-target tracking capabilitiesfor ASW and MCM C4ISR systems in developing a common undersea picture. Commercial and military applications include border and maritime surveillance and reconnaissance, and law enforcement for smuggling and other illegal activities.

* information listed above is at the time of submission.

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