GEOMAGNETIC FIELD MODELING ERRORS AND OPTIMIZATION OF RECURSIVE ESTIMATION

Award Information
Agency:
National Science Foundation
Branch
n/a
Amount:
$108,000.00
Award Year:
1986
Program:
SBIR
Phase:
Phase II
Contract:
n/a
Award Id:
693
Agency Tracking Number:
693
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
10210 Greenbelt Road, Suite 440, Seabrook, MD, 20706
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Bruce Gibbs
() -
Business Contact:
() -
Research Institute:
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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