An Array Feed Radial Basis Function Tracking System for NASA's Deep Space Network Antennas

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	Similar Articles Articles by R. Mukai Articles by P. Arabshahi Articles by V.A. Vilnrotter

IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6

Como, Italy

July 24-July 27

ISBN: 0-7695-0619-4

	ASCII Text	x
	R. Mukai, P. Arabshahi, V.A. Vilnrotter, "An Array Feed Radial Basis Function Tracking System for NASA's Deep Space Network Antennas," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 6, pp. 6259, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000.

	BibTex	x
	@article{ 10.1109/IJCNN.2000.859406, author = {R. Mukai and P. Arabshahi and V.A. Vilnrotter}, title = {An Array Feed Radial Basis Function Tracking System for NASA's Deep Space Network Antennas}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {6}, year = {2000}, issn = {1098-7576}, pages = {6259}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859406}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on TI - An Array Feed Radial Basis Function Tracking System for NASA's Deep Space Network Antennas SN - 1098-7576 SP EP A1 - R. Mukai, A1 - P. Arabshahi, A1 - V.A. Vilnrotter, PY - 2000 VL - 6 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER -

R. Mukai, California Institute of Technology

P. Arabshahi, California Institute of Technology

V.A. Vilnrotter, California Institute of Technology

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859406

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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