Adaptive cancellation of multiple interfering sinusoids

Author

So, H.C.

Author_Institution

Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China

Volume

2

fYear

1999

fDate

1999

Firstpage

692

Abstract

The adaptive sinusoidal interference canceller (ASIC), which gives an estimation of the unknown phase and amplitude, is a least-mean-square (LMS) method for eliminating a sine wave of known frequency from an observed signal. In this paper, the ASIC is generalized to cancel multiple interfering sinusoids with frequencies which are not exactly known. Convergence behavior and mean square errors of the estimates are derived and verified by computer simulations. It is also shown that the ASIC can provide significant signal-to-noise ratio (SNR) improvement. When the inteference frequencies are exactly known, it is proved that the ASIC estimation of phases and amplitudes can attain the Cramer-Rao lower bound (CRLB)

Keywords

adaptive signal processing; amplitude estimation; convergence of numerical methods; interference suppression; least mean squares methods; phase estimation; Cramer-Rao lower bound; LMS method; SNR improvement; adaptive cancellation; amplitude estimation; convergence behavior; inteference frequencies; least-mean-square method; mean square errors; multiple interfering sinusoids; phase estimation; signal-to-noise ratio; Amplitude estimation; Application specific integrated circuits; Computer simulation; Convergence; Frequency estimation; Interference cancellation; Interference elimination; Least squares approximation; Mean square error methods; Phase estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1999. 42nd Midwest Symposium on

Conference_Location

Las Cruces, NM

Print_ISBN

0-7803-5491-5

Type

conf

DOI

10.1109/MWSCAS.1999.867732

Filename

867732