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An Array Feed Radial Basis Function Tracking System for NASA's Deep Space Network Antennas
Como, Italy July 24-July 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859406IEEE-INNS-ENNS International Joint Co ...
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R. Mukai, California Institute of Technology
P. Arabshahi, California Institute of Technology
V.A. Vilnrotter, California Institute of Technology
The use of radial basis function networks for fine pointing NASA's 70-meter deep space network antennas is described and evaluated. We demonstrate that such a network, working in conjunction with the array feed compensation system, and trained using the computationally efficient orthogonal least-squares algorithm, can point a 70-meter deep space antenna with rms errors of less than 0.3 millidegree under good signal-to-noise ratio conditions, achieving significantly higher accuracies than the 0.8 millidegree benchmark for communications at Ka-band frequencies of 32 GHz.
Citation:
R. Mukai, P. Arabshahi, V.A. Vilnrotter, "An Array Feed Radial Basis Function Tracking System for NASA's Deep Space Network Antennas," ijcnn, vol. 6, pp.6259, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000
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