Investigation of Real-Time Satellite-to-Satellite Tracking Using Extended Kalman Filters.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF ENGINEERING
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The feasibility of adapting an extended Kalman filter to the real-time satellite-to-satellite tracking problem is investigated. A filter using linear propagation and nonlinear measurements is formulated. This filter accepts tracker measurements to provide the state estimates position, velocity, and acceleration of the tracked satellite in the local inertial reference frame. Six different filters are programmed in American National Standards Institute ANSI FORTRAN. These filters employ various covariance update techniques and methods of processing the measurement vector. The programs are compared for computer program storage requirements, program execution speeds, and computational precision. The computer program storage requirements are determined by utilizing the FORTRAN IV-PLUS compiler on a PDP-1145 minicomputer. The program execution speeds are found by timing on the PDP-1145 the filters reaction to a typical renedvous between two space vehicles.
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