Title :
Parametric estimation of complex 2-D sinusoids
Author :
De Graaf, Stuart R.
Author_Institution :
Environ. Res. Inst. of Michigan, Ann Arbor, MI, USA
Abstract :
An algorithm to estimate 2-D line spectra by performing a least-squares fit of a superposition of 2-D complex exponentials to measured data is developed. An equivalent deconvolution algorithm is developed for estimating the parameters of point scatterers in synthetic aperture radar (SAR) images. Performance capabilities and limitations of the algorithm are discussed. It is concluded that, for SAR applications, the algorithm provides accurate estimates of point scattering parameters which degrade gracefully as the signal-to-noise decreases
Keywords :
least squares approximations; parameter estimation; picture processing; radar theory; signal processing; spectral analysis; 2-D complex exponentials; SAR; complex 2-D sinusoids; equivalent deconvolution algorithm; images; least-squares; parametric estimation; point scatterers; superposition; synthetic aperture radar; Amplitude estimation; Deconvolution; Frequency estimation; History; Integrated circuit noise; Iterative algorithms; Layout; Noise level; Parameter estimation; Phase noise;
Conference_Titel :
Spectrum Estimation and Modeling, 1988., Fourth Annual ASSP Workshop on
Conference_Location :
Minneapolis, MN
DOI :
10.1109/SPECT.1988.206228
