Likelihood Map Waveform Tracking Performance for GNSS-R Ocean Altimetry

Ocean altimetry with Global Navigation Satellite Systems signals (GNSS) signals is a remote sensing technique that measures the height of the sea surface through the difference in path length of the direct and reflected signal. Code altimetry estimates this parameter by tracking the code delay after...

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Detalles Bibliográficos
Autores principales: Ozafrain, Santiago, Roncagliolo, Pedro Agustín, Muravchik, Carlos Horacio
Formato: Articulo
Lenguaje:Inglés
Publicado: 2019
Materias:
Ingeniería
Ingeniería Electrónica
GNSS+R
Low Earth Orbit (LEO)
Maximum likelihood estimation
Ocean altimetry
Remote sensing
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/123755
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-123755
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería
Ingeniería Electrónica
GNSS+R
Low Earth Orbit (LEO)
Maximum likelihood estimation
Ocean altimetry
Remote sensing
spellingShingle Ingeniería
Ingeniería Electrónica
GNSS+R
Low Earth Orbit (LEO)
Maximum likelihood estimation
Ocean altimetry
Remote sensing
Ozafrain, Santiago
Roncagliolo, Pedro Agustín
Muravchik, Carlos Horacio
Likelihood Map Waveform Tracking Performance for GNSS-R Ocean Altimetry
topic_facet Ingeniería
Ingeniería Electrónica
GNSS+R
Low Earth Orbit (LEO)
Maximum likelihood estimation
Ocean altimetry
Remote sensing
description Ocean altimetry with Global Navigation Satellite Systems signals (GNSS) signals is a remote sensing technique that measures the height of the sea surface through the difference in path length of the direct and reflected signal. Code altimetry estimates this parameter by tracking the code delay after performing correlations with a GNSS signal replica. It is of limited precision due to the low signal-to-noise ratio (SNR) and narrow bandwidth of the ocean-reflected GNSS signal. However, the potential advantages of the GNSS-R systems such as high temporal resolution and spatial coverage are a motivation to improve its altimetric precision. In this article, we present a performance assessment of the Likelihood Map Waveform tracking technique, a method based on Maximum Likelihood Estimation theory that exploits the available reflected power in a more efficient way than the single tracking point methods. We use a modification of the theoretical optimal solution that achieves a better performance than previous methods. We estimate it, in terms of SNR gain, using Monte Carlo method with a detailed stochastic model of the signal, and with actual signals from the Cyclone Global Navigation Satellite System. The gain values obtained were between 1.64 and 3.66 dB in the theoretical analysis, and between 1.69 and 2.62 dB with the real data, confirming the potential of the proposed approach.
format Articulo
Articulo
author Ozafrain, Santiago
Roncagliolo, Pedro Agustín
Muravchik, Carlos Horacio
author_facet Ozafrain, Santiago
Roncagliolo, Pedro Agustín
Muravchik, Carlos Horacio
author_sort Ozafrain, Santiago
title Likelihood Map Waveform Tracking Performance for GNSS-R Ocean Altimetry
title_short Likelihood Map Waveform Tracking Performance for GNSS-R Ocean Altimetry
title_full Likelihood Map Waveform Tracking Performance for GNSS-R Ocean Altimetry
title_fullStr Likelihood Map Waveform Tracking Performance for GNSS-R Ocean Altimetry
title_full_unstemmed Likelihood Map Waveform Tracking Performance for GNSS-R Ocean Altimetry
title_sort likelihood map waveform tracking performance for gnss-r ocean altimetry
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/123755
work_keys_str_mv AT ozafrainsantiago likelihoodmapwaveformtrackingperformanceforgnssroceanaltimetry
AT roncagliolopedroagustin likelihoodmapwaveformtrackingperformanceforgnssroceanaltimetry
AT muravchikcarloshoracio likelihoodmapwaveformtrackingperformanceforgnssroceanaltimetry
bdutipo_str Repositorios
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