Title :
Adaptive cancellation of multiple interfering sinusoids
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
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;
Conference_Titel :
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location :
Las Cruces, NM
Print_ISBN :
0-7803-5491-5
DOI :
10.1109/MWSCAS.1999.867732
