Title :
A new adaptive algorithm for eliminating sinusoidal interferences
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
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)
Keywords :
computational complexity; interference suppression; least mean squares methods; time series; Cramer-Rao lower bound; adaptive algorithm; amplitude parameters; computational complexity; convergence behaviours; interfering sinusoids; least mean square style algorithm; phase parameters; sinusoidal interferences; time series; Adaptive algorithm; Application specific integrated circuits; Communication system control; Computational complexity; Computer simulation; Convergence; Frequency; Interference cancellation; Interference elimination; Least squares methods;
Conference_Titel :
Circuits and Systems, 1998. Proceedings. 1998 Midwest Symposium on
Conference_Location :
Notre Dame, IN
Print_ISBN :
0-8186-8914-5
DOI :
10.1109/MWSCAS.1998.759543
