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Normalized GNSS interference pattern technique for altimetry.
Miguel Angel Ribot1, Jean-Christophe Kucwaj2, Cyril Botteron3
1Electronics and Signal Processing Laboratory (ESPLAB), École Polytechnique Fédéralede Lausanne (EPFL), Maladière 71B (Microcity), CH-2002 Neuchâtel, Switzerland. miguel.ribotsanfelix@epfl.ch.
This study introduces a new method using Global Navigation Satellite Systems (GNSS) reflected signals for faster antenna height estimation in altimetry. The technique improves accuracy by normalizing signal-to-noise ratio variations.
Area of Science:
- Geodesy and Geophysics
- Satellite Remote Sensing
Background:
- Global Navigation Satellite Systems (GNSS) reflected signals are utilized for altimetry, including water level and snow height monitoring.
- The interference pattern technique (IPT) uses signal-to-noise ratio (SNR) oscillations to determine distances, but is limited by estimation time.
Purpose of the Study:
- To develop an alternative model for SNR variations using normalized measurements.
- To define a maximum likelihood estimate for antenna height estimation, reducing measurement time.
Main Methods:
- Normalization of GNSS reflected signal measurements.
- Development of a new SNR variation model.
- Maximum likelihood estimation for antenna height.
- Derivation and application of the Cramér-Rao lower bound for sensitivity analysis.
Main Results:
- A novel method for estimating antenna height from GNSS signals is proposed.
- The new method significantly reduces the estimation time required per SNR variation cycle.
- Sensitivity analysis using the Cramér-Rao lower bound provides insights into parameter influence.
Conclusions:
- The proposed normalized measurement approach offers a more efficient method for antenna height estimation using GNSS.
- The technique is validated experimentally using real GPS L1 C/A signals.
- This advancement has implications for various altimetry applications requiring precise height measurements.
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