Title :
Super-resolution frequency estimation of the sinusoidal signals with unknown lowpass envelopes
Author :
Ge, Feng-Xiang ; Wan, Qun ; Peng, Ying-Ning ; Yang, Jim
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
A super-resolution frequency estimator for sinusoidal signals with unknown lowpass envelope is proposed, based on eigenanalysis and quadratic programming. Only a single snapshot is required to achieve the frequency estimation. Performance studies, which include comparisons of the proposed method and the nonlinear least-squares (NLS) approach with each other as well as with the Cramer-Rao bound (CRB), are presented. The simulations also illustrate the good performance of the proposed method in precision and super resolution.
Keywords :
eigenvalues and eigenfunctions; frequency estimation; least squares approximations; quadratic programming; signal resolution; Cramer-Rao bound; eigenanalysis; lowpass envelopes; nonlinear least-squares approach; quadratic programming; sinusoidal signals; super-resolution frequency estimation; Doppler radar; Fluctuations; Frequency estimation; Multiple signal classification; Parameter estimation; Radar applications; Shape; Signal resolution; Sonar applications; Spatial resolution;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1181015