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

Volume

1

fYear

2002

fDate

26-30 Aug. 2002

Firstpage

166

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2002 6th International Conference on

Print_ISBN

0-7803-7488-6

Type

conf

DOI

10.1109/ICOSP.2002.1181015

Filename

1181015