Some Aspects of Kalman Filtering Application in Hydrologic Time Series Processing

M. Markuš; D. Radojević

doi:10.1016/S0167-5648(08)70113-8

Some Aspects of Kalman Filtering Application in Hydrologic Time Series Processing

M. Markuš, D. Radojević

Research output: Contribution to journal › Article › peer-review

Abstract

A procedure of hydrological forecasting using linear ARX model and Kalman filtering is presented. Model parameters have been determined adaptively. The application of Kalman filter techniques leads to autoregression (AR) and crossregression (X) coefficients estimates after each time increment. An example is given and conclusions proposed.

Original language	English (US)
Pages (from-to)	351-356
Number of pages	6
Journal	Developments in Water Science
Volume	36
Issue number	C
DOIs	https://doi.org/10.1016/S0167-5648(08)70113-8
State	Published - Jan 1 1988
Externally published	Yes

ASJC Scopus subject areas

Oceanography
Water Science and Technology
Geotechnical Engineering and Engineering Geology
Ocean Engineering
Mechanical Engineering

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10.1016/S0167-5648(08)70113-8

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title = "Some Aspects of Kalman Filtering Application in Hydrologic Time Series Processing",

abstract = "A procedure of hydrological forecasting using linear ARX model and Kalman filtering is presented. Model parameters have been determined adaptively. The application of Kalman filter techniques leads to autoregression (AR) and crossregression (X) coefficients estimates after each time increment. An example is given and conclusions proposed.",

author = "M. Marku{\v s} and D. Radojevi{\'c}",

year = "1988",

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AU - Radojević, D.

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AB - A procedure of hydrological forecasting using linear ARX model and Kalman filtering is presented. Model parameters have been determined adaptively. The application of Kalman filter techniques leads to autoregression (AR) and crossregression (X) coefficients estimates after each time increment. An example is given and conclusions proposed.

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DO - 10.1016/S0167-5648(08)70113-8

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Some Aspects of Kalman Filtering Application in Hydrologic Time Series Processing

Abstract

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