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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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8962226/ |
| _version_ | 1818671321126535168 |
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| author | Santiago Ozafrain Pedro A. Roncagliolo Carlos H. Muravchik |
| author_facet | Santiago Ozafrain Pedro A. Roncagliolo Carlos H. Muravchik |
| author_sort | Santiago Ozafrain |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-17T07:22:08Z |
| format | Article |
| id | doaj.art-20012b9ae24a43fc9968eac5ca80cf94 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-12-17T07:22:08Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-20012b9ae24a43fc9968eac5ca80cf942022-12-21T21:58:43ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352019-01-0112125379538410.1109/JSTARS.2019.29635598962226Likelihood Map Waveform Tracking Performance for GNSS-R Ocean AltimetrySantiago Ozafrain0https://orcid.org/0000-0002-1068-0420Pedro A. Roncagliolo1https://orcid.org/0000-0002-1582-7030Carlos H. Muravchik2https://orcid.org/0000-0003-2954-6675Sistemas Electrónicos de Navegación y Telecomunicaciones, Facultad de Ingeniería, Universidad Nacional de La Plata, La Plata, ArgentinaSistemas Electrónicos de Navegación y Telecomunicaciones, Facultad de Ingeniería, Universidad Nacional de La Plata, La Plata, ArgentinaInstituto de Investigaciones en Electrónica, Control y Procesamiento de Señales (LEICI; UNLP-CONICET) and CIC-PBA, La Plata, ArgentinaOcean 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.https://ieeexplore.ieee.org/document/8962226/GNSS+RLow Earth Orbit (LEO)maximum likelihood estimationocean altimetryremote sensing |
| spellingShingle | Santiago Ozafrain Pedro A. Roncagliolo Carlos H. Muravchik Likelihood Map Waveform Tracking Performance for GNSS-R Ocean Altimetry IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing GNSS+R Low Earth Orbit (LEO) maximum likelihood estimation ocean altimetry remote sensing |
| title | 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_short | Likelihood Map Waveform Tracking Performance for GNSS-R Ocean Altimetry |
| title_sort | likelihood map waveform tracking performance for gnss r ocean altimetry |
| topic | GNSS+R Low Earth Orbit (LEO) maximum likelihood estimation ocean altimetry remote sensing |
| url | https://ieeexplore.ieee.org/document/8962226/ |
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