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Predictive Filtering of Situation Awareness Position Information

Award Information

Agency:
Department of Defense
Branch:
Office of the Secretary of Defense
Award ID:
32593
Program Year/Program:
1996 / SBIR
Agency Tracking Number:
32593
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Daniel H. Wagner, Associates, Incorporat
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: 1996
Title: Predictive Filtering of Situation Awareness Position Information
Agency / Branch: DOD / OSD
Contract: N/A
Award Amount: $99,936.00
 

Abstract:

The proposed research project is directed at the problem of reducing communications requirements for Situation Awareness Target location by using an optimal Kalman filter to predict target motion, and only communicating data when the target position differs sufficiently from the position predicted by the filter. Our Phase I approach is to quantify the bandwidth limitations of the communications system, then identify the optimal Kalman filter motion and observation models to use, based on the bandwidth limitations. We will develop a test version of the Kalman filter software, and demonstrate by tests conducted in the Wagner Data Fusion Testbed and by technical documentation that the resulting filter achieves a significant reduction in the communications requirements of the Situational Awareness system, without loss of information.

Principal Investigator:

Dr. Robert H. Overton
7577277700

Business Contact:

Small Business Information at Submission:

Daniel H. Wagner Assoc Inc.
40 Lloyd Avenue, Suite 200 Malvern, PA 19355

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