Computer Science – Performance
Scientific paper
Aug 1986
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1986asdy.conf.1065g&link_type=abstract
IN: Astrodynamics 1985; Proceedings of the Conference, Vail, CO, August 12-15, 1985. Part 2 (A86-43201 20-12). San Diego, CA, Un
Computer Science
Performance
Computerized Simulation, Spacecraft Tracking, Spacecraft Trajectories, Trajectory Analysis, Equations Of Motion, Kalman Filters, Monte Carlo Method
Scientific paper
An adaptive estimator is presented and performance is demonstrated which successfully tracks a powered spacecraft and estimates the spacecraft state. The system dynamics are inherently nonlinear due to the presence of gravity. The measurement model, with measurements of line-of-sight range, azimuth, and elevation, is also nonlinear. The estimator assumes a linearized, time varying dynamical system with a constant deterministic acceleration. In this paper, an algorithm is presented which makes use of the innovations to compute a constant acceleration approximation to the real system dynamics. The optimality and performance of the algorithm are demonstrated via repeated Monte Carlo simulations of a typical space tracking scenario. The scenario under consideration consists of tracking a spacecraft which performs an orbit transfer maneuver. Measurements of the line-of-sight azimuth, elevation, and range are simulated using the engagement geometry and a synthetic noise model. Bounds and limitations are explored and demonstrated in the test case.
Gorecki F. D.
Piehler M. J.
No associations
LandOfFree
Exoatmospheric trajectory estimation of an accelerating spacecraft does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Exoatmospheric trajectory estimation of an accelerating spacecraft, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Exoatmospheric trajectory estimation of an accelerating spacecraft will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-892130