Preliminary Design and Analysis of Synergistic Mix of Navigation Sensors

Bal N. Agamata

Abstract:	Preliminary design and analysis of a synergistic mix of existing Naval navigation sensors is the subject of this paper. The main emphasis is the synthesis of adaptive recursive and non-recursive digital filters for very low frequency, band-limited signals. The adaptive recursive filters are extended Porter-Stoneman data extrapolators, re-designed to provide unique smoothing and noise rejection properties. Composite estimate of the smoothed latitude and longitude data, delta ranges, and correlation coefficients are Lyossed by non-recursive filters. The best *smoothed having the maximun correlation coefficient with m&t to the composite estimate, resets or re-initializes the navigation sensors. General stability requirements are specified. Algoriths for trainable learning filters are also examined. Micro-CSt9 (Continuous system Modeling Program) is utilized for time-domain analysis. Simulation results indicate that, in the presence of large contaminating noise or random ermrs, "noise variance reduction factors" down to better than 20 dB can be achieved. The best smoothed data and c-site estimate have neglible systematic errors.
Published in:	Proceedings of the 3rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1990) September 19 - 21, 1990 The Broadmoor Hotel Colorado Spring, CO
Pages:	707 - 720
Cite this article:	Agamata, Bal N., "Preliminary Design and Analysis of Synergistic Mix of Navigation Sensors," Proceedings of the 3rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1990), Colorado Spring, CO, September 1990, pp. 707-720.
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