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A Modified Adaptive Kalman Filter for Realtime Applications

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

A modified adaptive Kalman filtering algorithm is derived for the standard linear problem under an irregular environment where all variances of the zero-mean Gaussian white (system and observation) noises are unknown a priori This algorithm has certain merits over various existing adaptive schemes in that it is simple, efficient, and suitable for realtime applications. An illustrative numerical example is included. © 1991 IEEE
Original languageEnglish
Pages (from-to)149-154
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume27
Issue number1
DOIs
Publication statusPublished - Jan 1991
Externally publishedYes

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