Title :
Frequency estimation and tracking of multiple sinusoidal components
Author :
Guo, Xiuyan ; Bodson, Marc
Author_Institution :
Electr. & Comput. Eng., Utah Univ., Salt Lake City, UT, USA
Abstract :
The paper presents a discrete-time algorithm for the frequency estimation of signals containing two independent sinusoidal components. The magnitudes and the phases of the components are obtained as well as their frequencies, and extension of the scheme to a higher number of components is possible. The algorithm is analyzed in the case of a single component using a linear time-invariant approximation. The results give estimates of the convergence rate and of the noise sensitivity of the algorithm. Estimation of two frequencies is performed by combining two estimators in a parallel structure. To prevent the two estimates from converging to the same frequency, a separation algorithm is proposed. Simulations show that the resulting estimator is effective at discriminating between two closely-spaced frequencies. Tracking of slowly-varying frequencies is also demonstrated.
Keywords :
discrete time systems; frequency estimation; signal processing; tracking; closely spaced frequencies; convergence rate; discrete time algorithm; frequency estimation; independent sinusoidal components; linear time invariant approximation; multiple sinusoidal components; noise sensitivity; parallel structure; slowly varying frequencies; tracking; Adaptive filters; Additive noise; Cities and towns; Filtering; Frequency estimation; Frequency measurement; Independent component analysis; Linear approximation; Phase locked loops; Power harmonic filters;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1272489