Title :
Optimal algorithms for spaceborne altimeter
Author :
Grishechkin, B.Y. ; Baskakov, A.I.
Author_Institution :
Moscow Power Eng. Inst., Tech. Univ., Moscow, Russia
Abstract :
This paper is dedicated to new methods of space altimeter altitude and sea surface significant wave height (SWH) measuring. These methods are based on the fundamentals of Bayesian optimal measure method of a parameter. Optimal discriminators of the parameters are developed using the least square error of the estimate criteria, apart from others papers which mostly minimize the least square error of altimeter waveform fitting function. Potential measurement accuracy calculation results are also presented.
Keywords :
Bayes methods; geophysical techniques; height measurement; ocean waves; spaceborne radar; Bayesian optimal measure method; altimeter waveform fitting function; correlation function; least square error; likelihood function; potential measurement accuracy; sea surface significant wave height; space altimeter altitude; space borne radar altimeter; Antenna measurements; Current measurement; Extraterrestrial measurements; Fluctuations; Sea measurements; Sea surface; Surface waves; Space borne radar altimeter; altimeter waveform; correlation function; likelihood function; optimal discriminator; significant wave height;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5653796
