Unbiased FIR system identification in the presence of input and output interference

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationMidwest Symposium on Circuits and Systems
PublisherIEEE
Pages696-699
Volume2
Publication statusPublished - 1999

Publication series

Name
Volume2

Conference

Title1999 IEEE 42nd Midwest Symposium on Circuits and Sistems
CityLas Cruces, NM, USA
Period8 - 11 August 1999

Abstract

In the presence of input interference, the Wiener solution for impulse response estimation is biased. In this paper, it is proved that bias removal can be achieved by proper scaling the optimal filter coefficients and a modified least mean squares algorithm is then developed for accurate system identification in noise. Simulation results are included to compare the impulse response estimation performances of the proposed method and two total least squares based adaptive algorithms under different interference conditions.

Citation Format(s)

Unbiased FIR system identification in the presence of input and output interference. / So, H. C.

Midwest Symposium on Circuits and Systems. Vol. 2 IEEE, 1999. p. 696-699.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review