A Simple Treatment for Suboptimal Kaiman Filtering in Case of Measurement Data Missing

Guanrong Chen

doi:10.1109/7.53450

A Simple Treatment for Suboptimal Kaiman Filtering in Case of Measurement Data Missing

Guanrong Chen

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

24 Citations (Scopus)

Abstract

A very simple yet efficient treatment is suggested as a suboptimal Kaiman filtering algorithm for the standard filtering process under the irregular environment where some measurement data information is missing. Convergence analysis for the proposed algorithm is given. © 1990 IEEE

Original language	English
Pages (from-to)	413-415
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	26
Issue number	2
DOIs	https://doi.org/10.1109/7.53450
Publication status	Published - Mar 1990
Externally published	Yes

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title = "A Simple Treatment for Suboptimal Kaiman Filtering in Case of Measurement Data Missing",

abstract = "A very simple yet efficient treatment is suggested as a suboptimal Kaiman filtering algorithm for the standard filtering process under the irregular environment where some measurement data information is missing. Convergence analysis for the proposed algorithm is given. {\textcopyright} 1990 IEEE",

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year = "1990",

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N2 - A very simple yet efficient treatment is suggested as a suboptimal Kaiman filtering algorithm for the standard filtering process under the irregular environment where some measurement data information is missing. Convergence analysis for the proposed algorithm is given. © 1990 IEEE

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DO - 10.1109/7.53450

M3 - RGC 21 - Publication in refereed journal

SN - 0018-9251

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EP - 415

JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

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ER -

A Simple Treatment for Suboptimal Kaiman Filtering in Case of Measurement Data Missing

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