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Home » Awards » GEOMAGNETIC FIELD MODELING ERRORS AND OPTIMIZATION OF RECURSIVE ESTIMATION

GEOMAGNETIC FIELD MODELING ERRORS AND OPTIMIZATION OF RECURSIVE ESTIMATION

Award Information

Agency: National Science Foundation	Branch: N/A	Award ID: 693	Program Year/Program: 1986 / SBIR
Agency Tracking Number: 693	Solicitation Year: N/A	Solicitation Topic Code: N/A	Solicitation Number: N/A

Small Business Information: Business & Technological Syste
14504 Greenview Dr - Ste 500 Laurel, MD 20708
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Phase 2: Fiscal Year: 1986

Title: GEOMAGNETIC FIELD MODELING ERRORS AND OPTIMIZATION OF RECURSIVE ESTIMATION

Agency: NSF

Contract: N/A

Award Amount: $108,000.00

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.

Principal Investigator:
Bruce Gibbs

Business Contact:

Small Business Information at Submission:

Business & Technological Syste
10210 Greenbelt Road Suite 440 Seabrook, MD 20706

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Number of Employees: N/A

Woman-Owned: No

Minority-Owned: No

HUBZone-Owned: No