Conditional mean and maximum likelihood approaches to multiharmonic frequency estimation

Ben James, Brian Anderson, Robert Williamson

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

The performance of an extended Kalman filter (EKE') applied to the problem of estimating the (assumed constant) parameten (fundamental frequency, harmonic phases, and amplitudes) of a complex multiharmonic signal measured in noise is shown to he asymptotically (i.e., as the number of measurements tends to infinity) efliuent. The Cramer-Rao (CR) bounds associated with the estimation problem are derived for the case where the measurements commence at an arbitrarg time distinct from zero.
Original languageEnglish
Pages (from-to)1366–1375
JournalIEEE Transactions on Signal Processing
Publication statusPublished - Jun 1994

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