Enabling Netted Sensor Fusion for Anti-Submarine Warfare in Uncertain and Variable Environments

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$80,000.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
N00167-11-P-0025
Award Id:
n/a
Agency Tracking Number:
N102-145-0800
Solicitation Year:
2010
Solicitation Topic Code:
N102-145
Solicitation Number:
2010.2
Small Business Information
40 Lloyd Avenue, Suite 200, Malvern, PA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
075485425
Principal Investigator:
Richard Samms
Associate/President
(757) 727-7700
richard@va.wagner.com
Business Contact:
W. Monach
Vice President
(757) 727-7700
GovtMktg@pa.wagner.com
Research Institute:
Stub




Abstract
Daniel H. Wagner Associates proposes to develop a tool set for object location and classification, and sensor data geo-registration for full distributed platform data fusion and multi-attribute ASW scene generation. The process of accurately locating and identifying tracks and objects using multiple sensors requires that the individual sensor data be properly geo-registered prior to the data fusion, classification, and location refinement processes to avoid false classifications and misidentified threats. Proposed is an innovative method to register multiple sensor data into a high probability scene using a stochastic multi-hypothesis pairwise registration algorithm. The registered data is then post processed using a multi-hypothesis tracker to produce the most likely scenarios. Our approach to advanced geo-registration algorithms to fuse data from multiple platform sensors includes individual sensor performance, multiple attribute, and maximum likelihood optimal assignment. Once a common ASW scene is created we will classify the track with an inferential reasoning engine used to estimate target ID is based on a context dependent Bayesian Network.

* information listed above is at the time of submission.

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