TWO-STAGE CUBATURE KALMAN FILTERAND ITS APPLICATION IN WATER POLLUTION MODEL
Journal Title: Acta Scientifica Malaysia - Year 2018, Vol 2, Issue 1
Abstract
Water Pollution Model is a nonlinear system which present the random bias. The most common method is to use augmented state Cubature Kalman Filter, but the computational requirement of augmented state Kalman filter may become excessive. It is easily overflow and fail when running on digital computer. In this paper, two-stage Cubature Kalman filter is proposed to solve this problem. The estimate of two-stage Cubature Kalman filter can be expressed as the output of the advanced bias free filter and bias filter. Contrast augmented state Cubature Kalman filter, two-stage Cubature Kalman filter is equivalent to the augmented state Cubature Kalman Filter in terms of computational accuracy, but computation is much smaller than augmented state Cubature Kalman Filter. The simulation results prove the validity of the two-stage Cubature Kalman filter in Water Pollution Model and prove the equivalence of the two algorithms.
Authors and Affiliations
Zhang Lu, Xu Daxing,, Wang Hailun
Keywords
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- EP ID EP402378
- DOI 10.26480/asm.01.2018.09.13
- Views 106
- Downloads 0
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