Title :
New insights on Pisarenko´s method for sinusoidal frequency estimation
Author :
So, H.C. ; Chan, K.W.
Author_Institution :
Dept. of Comput. Eng. & Inf. Technol., City Univ. of Hong Kong, Kowloon, China
Abstract :
The well known Pisarenko´s method for sinusoidal frequency estimation can be considered as a least squares minimization problem subject to a unit-norm constraint. In this paper, a computationally attractive and accurate frequency estimator is devised via applying weighted least squares in the Pisarenko´s framework. Simulation results are included to evaluate the estimation performance of the proposed algorithm in different conditions.
Keywords :
frequency estimation; least mean squares methods; minimisation; signal classification; Pisarenkos method; least squares minimization; sinusoidal frequency estimation; weighted least squares; Eigenvalues and eigenfunctions; Frequency estimation; Least squares approximation; Least squares methods; Radar applications; Radar measurements; Signal resolution; Sonar applications; Sonar measurements; Speech;
Conference_Titel :
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN :
0-7803-7946-2
DOI :
10.1109/ISSPA.2003.1224924
