Effect of the Local Backscattering Pattern of the Sea Surface to the Reflected Signal of a Precision Airborne Radar Altimeter at Low Altitude

Min-Ho Ka, Aleksandr I. Baskakov, Alexey Artemenko

Research output: Contribution to journalArticle

Abstract

When designing a high-precision airborne radar altimeter, the approach of an analysis of the characteristics of radio signals reflected from a statistically rough sea surface based on its steady-state model becomes invalid. In the measurement of the sea surface profile, a characteristic of the reflection properties is the local backscattering pattern of the radar cross section, which depends on the time and the relative position of the low-altitude carrying vehicle from the surface. The effective width of the local backscattering pattern is determined by the statistical characteristics both of the small-scale roughness and the large-scale roughness of the surface. The location of the maximum value of the local backscattering pattern depends on the derivative of the large-scale roughness of the sea surface, i.e., the shifts in proportion to the slopes of the large-scale surface roughness. These effects must be considered when analyzing the measurement errors of a low-altitude radar altimeter.

Original languageEnglish
Article number7498683
Pages (from-to)1246-1249
Number of pages4
JournalIEEE Geoscience and Remote Sensing Letters
Volume13
Issue number9
DOIs
Publication statusPublished - 2016 Sep 1

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Aircraft radar equipment
Radio altimeters
Backscattering
altimeter
roughness
sea surface
radar
Surface roughness
surface roughness
cross section
Radar cross section
radio
Measurement errors
effect
Derivatives

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Electrical and Electronic Engineering

Cite this

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Effect of the Local Backscattering Pattern of the Sea Surface to the Reflected Signal of a Precision Airborne Radar Altimeter at Low Altitude. / Ka, Min-Ho; Baskakov, Aleksandr I.; Artemenko, Alexey.

In: IEEE Geoscience and Remote Sensing Letters, Vol. 13, No. 9, 7498683, 01.09.2016, p. 1246-1249.

Research output: Contribution to journalArticle

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