2016•Unpublished venueRequires access

Application of Kalman filter in GPS data preprocessing

Feng Baohon

Open publisher page 2 citations

Abstract

In order to improve the accuracy of baseline solution in GPS data preprocessing,this paper used polynomial fitting to obtain Kalman state equation and transfer matrix,then proposed to repair the gross error and cycle slip of triple difference by Kalman filter.Experimental result showed that Kalman filter would reduce the noise of GPS signals efficiently with better distribution of the de-noised signals.

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What this paper is about

In order to improve the accuracy of baseline solution in GPS data preprocessing,this paper used polynomial fitting to obtain Kalman state equation and transfer matrix,then proposed to repair the gross error and cycle slip of triple difference by Kalman filter.Experimental result showed that Kalman filter would reduce the noise of GPS signals efficiently with better distribution of the de-noised signals.

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Available abstract

In order to improve the accuracy of baseline solution in GPS data preprocessing,this paper used polynomial fitting to obtain Kalman state equation and transfer matrix,then proposed to repair the gross error and cycle slip of triple difference by Kalman filter.Experimental result showed that Kalman filter would reduce the noise of GPS signals efficiently with better distribution of the de-noised signals.

Key concepts: Kalman filter, Global Positioning System, Fast Kalman filter, Invariant extended Kalman filter, GPS/INS, Extended Kalman filter, Computer science, Preprocessor

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