DocumentCode
2554510
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
fYear
1993
fDate
June 28 1993-July 2 1993
Firstpage
1906
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 1993. AP-S. Digest
Conference_Location
Ann Arbor, MI, USA
Print_ISBN
0-7803-1246-5
Type
conf
DOI
10.1109/APS.1993.385578
Filename
385578
Link To Document