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- W2775267946 abstract "This chapter presents an alternative framework to the traditional centralised Kalman filtering (CKF) approach for implementing the optimal state estimation algorithm in support of multisensor integration. The data fusion algorithm is implemented via a series of transformations of vectors in the so-called information space (iSpace). This chapter describes how the conventional decentralised Kalman filtering (DKF) algorithm can be derived using a unified approach. A new global optimal fusion (GOF) algorithm is derived using the iSpace approach. Two case studies are presented to illustrate applications of the multisensor algorithms for GNSS/Locata/INS and GNSS/WiFi/INS integration." @default.
- W2775267946 created "2017-12-22" @default.
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- W2775267946 date "2018-01-01" @default.
- W2775267946 modified "2023-09-27" @default.
- W2775267946 title "Multisensor Integration and Data Fusion for Positioning" @default.
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- W2775267946 doi "https://doi.org/10.4018/978-1-5225-3528-7.ch011" @default.
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