Optimal algorithms for spaceborne altimeter

Author

Grishechkin, B.Y. ; Baskakov, A.I.

Author_Institution

Moscow Power Eng. Inst., Tech. Univ., Moscow, Russia

fYear

2010

fDate

25-30 July 2010

Firstpage

640

Lastpage

642

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Conference_Location

Honolulu, HI

ISSN

2153-6996

Print_ISBN

978-1-4244-9565-8

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2010.5653796

Filename

5653796