A new adaptive algorithm for eliminating sinusoidal interferences

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

A simple method is presented for adaptive canceling of sinusoidal disturbances with known frequencies in a time series. The system is characterized by the phase and amplitude parameters. These are updated directly according to a least mean square (LMS)-style algorithm. The computational complexity of the algorithm is proportional to the number of the interfering sinusoids. Convergence behaviours as well as variances of the parameters are derived and verified by computer simulations. It is also shown that the performance of the least squares realization of the interference canceller can attain the Cramer-Rao lower bound (CRLB).
Original languageEnglish
Title of host publicationProceedings - 1998 Midwest Symposium on Circuits and Systems
PublisherIEEE
Pages514-517
ISBN (Print)0-8186-8914-5, 0-7803-5466-4
DOIs
Publication statusPublished - Aug 1998
Event1998 Midwest Symposium on Circuits and Systems, MWSCAS 1998 - Notre Dame, United States
Duration: 9 Aug 199812 Aug 1998

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746

Conference

Conference1998 Midwest Symposium on Circuits and Systems, MWSCAS 1998
PlaceUnited States
CityNotre Dame
Period9/08/9812/08/98

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