Optimal Neural-Based Navigation Satellite Selection
Document Type
Conference Proceeding
Publication Date
3-1993
Publication Title
International Conference on Computer Applications in Design, Simulation, and Analysis
Abstract
The application of neural-based methods to optimal satellite subset selection for navigation use is discussed. The optimal satellite subset is chosen by minimizing a quantity known as Geometric Dilution of Precision (GDOP), which is given by the trace of the inverse of the measurement matrix. An artificial neural network learns the functional relationships between the entries of a measurement matrix and the eigen valuse of its inverse, and thus generates GDOP without inverting a matrix.
Repository Citation
Simon, Daniel J. and El-Sherief, Hossny, "Optimal Neural-Based Navigation Satellite Selection" (1993). Electrical and Computer Engineering Faculty Publications. 202.
https://engagedscholarship.csuohio.edu/enece_facpub/202
Original Citation
D. Simon and H. El-Sherief, “Optimal Neural-Based Navigation Satellite Selection,” International Conference on Computer Applications in Design, Simulation and Analysis, Washington, DC, pp. 147-150, March 1993
