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

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-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 languageEnglish
Pages (from-to)413-415
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume26
Issue number2
DOIs
Publication statusPublished - Mar 1990
Externally publishedYes

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