GEOMAGNETIC FIELD MODELING ERRORS AND OPTIMIZATION OF RECURSIVE ESTIMATION

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: N/A
Agency Tracking Number: 693
Amount: $108,000.00
Phase: Phase II
Program: SBIR
Awards Year: 1986
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Business & Technological Syste
10210 Greenbelt Road, Suite 440, Seabrook, MD, 20706
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Bruce Gibbs
 () -
Business Contact
Phone: () -
Research Institution
N/A
Abstract
THE CONCEPT OF USING RECURSIVE ESTIMATION METHODS FOR GEOMAGNETIC FIELD MODELING WAS DEMONSTRATED (BY BTS) IN A PREVIOUS LIMITED INVESTIGATION. THE RESEARCH PROPOSED HERE ATTEMPTS TO SOLVE SOME OF THE PROBLEMS ENCOUNTERED IN THAT STUDY SO THAT THE FULL POTENTIAL OF THE RECURSIVE ESTIMATION APPROACH MAY BE DEMONSTRATED. SPECIFICALLY, WE PROPOSE TO ESTABLISH EFFICIENT ALGORITHMS FOR COMPUTING THE OPTIMAL STATE NOISE COVARIANCE MATRIX USING MAXIMUM LIKELIHOOD ESTIMATION, TO FIND A MORE OPTIMAL METHOD OF TREATING OBSERVATORY "BIASES" IN FILTERING, AND TO ANALYZE AND IDENTIFY THE SOURCES OF GEOMAGNETIC MODELING ERROR WHICH IS CURRENTLY PRESENT IN THE LEAST SQUARES INVERSE PROBLEM FOR THE MAIN GEOMAGNETIC FIELD.

* information listed above is at the time of submission.

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