Title :
Optimization of high-resolution-radar motion compensation via entropy-like functions
Author :
Flores, B.C. ; Martinez, A. ; Hammer, J.
Author_Institution :
Dept. of Electr. Eng., Texas Univ., El Paso, TX, USA
fDate :
June 28 1993-July 2 1993
Abstract :
It is shown that motion compensation of radar imagery based on entropy reduction can be optimized by selecting an exponential gain function. Use of this function guarantees a stable convexity of the entropy surface for low SNR, a rapid determination of the entropy minimum, and accurate motion parameter estimation.<>
Keywords :
image resolution; minimum entropy methods; motion compensation; motion estimation; parameter estimation; radar imaging; convexity; entropy reduction; exponential gain function; high-resolution-radar motion compensation; motion parameter estimation; Artificial intelligence; Degradation; Entropy; Frequency estimation; Image resolution; Motion compensation; Motion estimation; Radar imaging; Radar scattering; Signal to noise ratio;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1993. AP-S. Digest
Conference_Location :
Ann Arbor, MI, USA
Print_ISBN :
0-7803-1246-5
DOI :
10.1109/APS.1993.385578
