Implementation of the RELAX algorithm

Author

Jian Li

Volume

34

Issue

2

fYear

1998

fDate

4/1/1998 12:00:00 AM

Firstpage

657

Lastpage

664

Abstract

This correspondence presents a zoom-FFT based RELAX algorithm for estimating sinusoidal parameters in the presence of unknown colored noise. The amount of computations required by this algorithm is much less than the original zero-padding FFT based RELAX. Yet the estimation performance of the new algorithm is only slightly degraded as compared with the original one

Keywords

Gaussian noise; amplitude estimation; computational complexity; fast Fourier transforms; feature extraction; frequency estimation; least mean squares methods; radar signal processing; relaxation theory; spectral analysis; white noise; 1D zoom-FFT; 2D zoom-FFT; amplitude estimates; asymptotically statistically efficient estimator; complex white Gaussian noise; estimation performance; frequency estimate; high resolution; line spectral estimation; mean squared errors; nonlinear least squares criterion; radar images; reduced computational requirement; relaxation algorithm; sinusoidal parameters estimation; target feature extraction; unknown colored noise; zoom-FFT based RELAX algorithm; Colored noise; Degradation; Fast Fourier transforms; Feature extraction; Flexible printed circuits; Military computing; Parameter estimation; Radar applications; Radar scattering; Synthetic aperture radar;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.670348

Filename

670348