In this paper design and development of a multidimensional Kalman filter with the purpose to estimate the tri-dimensional position of a stationary object based on GPS measurements is presented. Because this is not the only filtering algorithm available, a comparison with other four types of filters (one-dimensional optimal Kalman algorithm, quasioptimal stationary Kalman algorithm, simple moving average algorithm and optimally unbiased moving average algorithm) is also developed.
Three-dimensional optimal Kalman algorithm for GPS-based positioning estimation of the stationary object
01.01.2003
217282 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
British Library Conference Proceedings | 2003
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