Tracking the variation of tidal stature using Kalman filter

Seshadri, Vikram; Sudheesh, P.; Jayakumar, M

doi:10.1109/iccpct.2016.7530339

Cited by 9 publications

(1 citation statement)

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“…The ideologies of the Kalman filter is based on an optimal recursive estimate intended for data processing that uses indirect, inaccurate and uncertain observations to infer the parameters of interest (Seshadri, 2016, Peter, 1979. The KF algorithm which is a powerful filter basically estimates the current state of a dynamic system from incomplete noisy indirect measurements (Persson and Sharf, 2012).…”

Section: Mathematical Concept Of Kalman Filter Modelmentioning

confidence: 99%

A Review of Modelling Approaches on Tidal Analysis and Prediction

Abubakar

Mahmud

Tang

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Tide height depends on both long-term astronomical effects that are principally affected by the moon and sun and short-term meteorological effects caused by severe weather conditions which are very important tasks for human activities, safe marine navigation in shallow areas, oceans and coastal engineering work. Conventional tidal forecasting techniques are based on harmonic analysis, which is a superposition of many sinusoidal constituents with three parameters amplitudes, Phase and frequencies using the least squares method to determine the harmonic parameters. However, harmonic analysis required a large number of parameters and long-term tidal measured for precise tidal level predictions. Furthermore, what seems to stand out by the other researchers on traditional harmonic methods, was its limitation when short data are involved and rely on based on the analysis of astronomical components and they can be insufficient when the influence of non-astronomical components such as the weather, is important. Therefore, conventional harmonic analysis alone does not adequately predict the coastal water level variation, in order to deal with these situations and provide predictions with the desired accuracy, with respect to the length of the available tidal record, an alternative approach has been developed by various tidalist. In this study the state - of - art for tidal analysis and prediction techniques that have proven to be successful in a variety of circumstances have been reviewed in a systematic and consistent way for holistic understanding with a view to provide a reference for future work, showing their main mathematical concepts, model capabilities for tidal analysis and prediction with their limitations.

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Section: Mathematical Concept Of Kalman Filter Modelmentioning

confidence: 99%