Accession Number:

AD0837119

Title:

SECOND ORDER REGRESSION PROCESSES IN GEOMETRIC SATELLITE DATA REDUCTION PROBLEMS,

Descriptive Note:

Corporate Author:

RESEARCH INST FOR GEODETIC SCIENCES FORT BELVOIR VA

Personal Author(s):

• Gambino, Lawrence A.

Report Date:

1968-01-01

Pagination or Media Count:

13.0

Abstract:

In a pure geometric approach to three dimensional satellite data reduction processes, we develop a system of normal equations which can have either of two forms. These forms evolve from the assumptions that only random errors exist in the data or that the data also contains systematic error. If we consider only random errors and carry satellite positions as unknown parameters, we obtain what we refer to as a first order, partitioned, regression system. On the other hand, if we assume that systematic errors exist in the data as well as random errors and make further assumptions that the systematic errors are different on each satellite pass, we obtain what we refer to as a second order, partitioned, regression system. Author

Descriptors:

• *PROBLEM SOLVING
• *ARTIFICIAL SATELLITES
• *DATA PROCESSING
• ORBITS
• REGRESSION ANALYSIS
• MATHEMATICAL PREDICTION
• ERRORS
• MATRICES(MATHEMATICS)
• EQUATIONS

Subject Categories:

• Statistics and Probability
• Spacecraft Trajectories and Reentry

Distribution Statement:

APPROVED FOR PUBLIC RELEASE