Title :
Implementation of the RELAX algorithm
fDate :
4/1/1998 12:00:00 AM
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;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
