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the prospects of transferring software-engineering methods and tools from the field of information s.doc

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the prospects of transferring software-engineering methods and tools from the field of information s

Six methodological steps to build medical data warehouses for research??Original Research ArticleInternational Journal of Medical Informatics, Volume 75, Issue 9, September 2006, Pages 683-691N.B. Szirbik, C. Pelletier, T. Chaussalet ?Show preview??|?? Purchase PDF (249 K) ??|?? Related articles??|??Related reference work articles???? 719 Adaptively Robust Phase Lock Loop for Low C/N Carrier Tracking in a GPS Software Receiver??Original Research ArticleActa Automatica Sinica, Volume 37, Issue 1, January 2011, Pages 52-60Jian-Feng MIAO, Wu CHEN, Yong-Rong SUN, Jian-Ye LIU ?Close preview??|?? Purchase PDF (1074 K) ??|?? Related articles??|??Related reference work articles???? AbstractAbstract | ReferencesReferences Abstract An important issue in GPS applications is how to track GPS (global positioning system) signal precisely and continuously under low carrier-to-noise ratio (C/N). In this paper, an adaptively robust filter based low C/N carrier phase lock loop (PLL) is developed under a GPS software receiver platform. Considering the effect of low C/N carrier signal on the traditional tracking loop, a parallel correlation tracking loop is established. A linear optimal estimator is designed to deal with the dependent noises in kinematics model and measurements. Furthermore, an adaptively robust filter is designed based on a three segment function adjust factor. When received signals are under favorable conditions, the performance of the new filter is very similar to a standard Kalman filter. For a practical weak carrier tracking, this new enhanced PLL intelligently tunes the loop parameters according to the total phase jitter analysis. It successfully resists the outliers and dynamic model errors by adaptively balancing the influence of updated dynamic model state and the measurements. The robustness and efficiency of the new filter is demonstrated by some real data testing experiments. The results verify that the standard deviation of the phase errors w