Title :
On the resolvability of sinusoidal parameter estimates [and application to SAR target features]
Author :
Sheba, Mahbuba ; Li, Jian
Author_Institution :
Anritru Wilton Co., Richardson, TX, USA
fDate :
4/1/1998 12:00:00 AM
Abstract :
The resolvability of 2-D (two-dimensional) sinusoidal parameter estimates is studied. These sinusoids describe the target features in SAR (synthetic aperture radar) applications. We analyze the resolvability by considering the frequency estimates of the sinusoids. Our results may be used by target classification algorithms to better classify radar targets in SAR applications
Keywords :
Gaussian distribution; covariance matrices; feature extraction; frequency estimation; pattern classification; radar target recognition; synthetic aperture radar; 2D sinusoidal parameter estimates; Cramer-Rao bound; Gaussian distributed; covariance matrix; frequency estimates; radar targets; resolvability; synthetic aperture radar; target classification algorithms; target features; Covariance matrix; Ellipsoids; Frequency estimation; Gaussian noise; Maximum likelihood estimation; Parameter estimation; Signal resolution; Signal to noise ratio; Synthetic aperture radar; Two dimensional displays;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
