Next Article in Journal
Using Swarm to Detect Total Water Storage Changes in 26 Global Basins (Taking the Amazon Basin, Volga Basin and Zambezi Basin as Examples)
Next Article in Special Issue
Regional Seafloor Topography by Extended Kalman Filtering of Marine Gravity Data without Ship-Track Information
Previous Article in Journal
A Near Standard Soil Samples Spectra Enhanced Modeling Strategy for Cd Concentration Prediction
Previous Article in Special Issue
Increased Ice Thinning over Svalbard Measured by ICESat/ICESat-2 Laser Altimetry
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Communication

Limiting Accuracy of Height Measurement for a Precision Radar Altimeter in a Low Altitude Flying Vehicle above the Sea Surface

1
Department of Radio Devices and Antenna Systems, National Research University “MPEI”, Krasnokazarmennaya 14, 111250 Moscow, Russia
2
School of Integrated Technology, Yonsei University, Seoul 21983, Korea
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(14), 2660; https://doi.org/10.3390/rs13142660
Submission received: 25 March 2021 / Revised: 18 June 2021 / Accepted: 30 June 2021 / Published: 6 July 2021
(This article belongs to the Special Issue Satellite Altimetry: Technology and Application in Geodesy)

Abstract

This study presents mathematical analysis and numerical modeling for the estimation of measurement errors of height estimation over the sea surface for a precision radar altimeter installed in a low altitude flying vehicle. Reflective properties of the electromagnetic signals from the sea surface are determined by the local backscattering patterns of the sea surface illuminated. The height estimation of the flying vehicle from the received echo signals at the output of its tracking system is the sum of three factors: the first factor is the height to the average sea level the second is the bias of the estimation of the height, which is time-varying and depends on the slope of large-scale roughness; the third is the terms related to the surface topography. For the calculation of the estimation errors of the height measurement of a low altitude precision radar altimeter, a reasonable approximation of the large roughness of the sea surface by a deterministic function is necessary. In this study, we performed the derivation of the estimation function and the analysis of the limiting accuracy of the height measurement using the calculation of the estimation errors in spectral domain method describing the large-scale sea surface roughness. The results obtained for the limiting accuracy of a flying vehicle at low altitude above the sea surface, allows to obtain reasonable system parameters minimizing height errors of the flight altitude.
Keywords: radar altimeter; limiting accuracy; measurement errors; height estimation; sea surface; flying vehicles; low altitude radar altimeter; limiting accuracy; measurement errors; height estimation; sea surface; flying vehicles; low altitude
Graphical Abstract

Share and Cite

MDPI and ACS Style

Baskakov, A.I.; Komarov, A.A.; Ruban, A.V.; Ka, M.-H. Limiting Accuracy of Height Measurement for a Precision Radar Altimeter in a Low Altitude Flying Vehicle above the Sea Surface. Remote Sens. 2021, 13, 2660. https://doi.org/10.3390/rs13142660

AMA Style

Baskakov AI, Komarov AA, Ruban AV, Ka M-H. Limiting Accuracy of Height Measurement for a Precision Radar Altimeter in a Low Altitude Flying Vehicle above the Sea Surface. Remote Sensing. 2021; 13(14):2660. https://doi.org/10.3390/rs13142660

Chicago/Turabian Style

Baskakov, Aleksandr I., Alexey A. Komarov, Anna V. Ruban, and Min-Ho Ka. 2021. "Limiting Accuracy of Height Measurement for a Precision Radar Altimeter in a Low Altitude Flying Vehicle above the Sea Surface" Remote Sensing 13, no. 14: 2660. https://doi.org/10.3390/rs13142660

APA Style

Baskakov, A. I., Komarov, A. A., Ruban, A. V., & Ka, M.-H. (2021). Limiting Accuracy of Height Measurement for a Precision Radar Altimeter in a Low Altitude Flying Vehicle above the Sea Surface. Remote Sensing, 13(14), 2660. https://doi.org/10.3390/rs13142660

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop