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

Award Information

Department of Defense
Award ID:
Program Year/Program:
2011 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Daniel H. Wagner, Associates, Incorporated
559 West Uwchlan Avenue Suite 140 Exton, PA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2011
Title: Enabling Netted Sensor Fusion for Anti-Submarine Warfare in Uncertain and Variable Environments
Agency: DOD
Contract: N00167-11-P-0025
Award Amount: $80,000.00


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.

Principal Investigator:

Richard Samms
(757) 727-7700

Business Contact:

W. Monach
Vice President
(757) 727-7700
Small Business Information at Submission:

Daniel H. Wagner, Associates, Incorporated
40 Lloyd Avenue Suite 200 Malvern, PA -

EIN/Tax ID: 231677707
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No