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A Real-Time GNSS-R System for Monitoring Sea Surface Wind Speed and Significant Wave Height.

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This study introduces a novel Global Navigation Satellite System (GNSS) monitoring system for real-time sea condition observation. The system accurately measures wind speed and significant wave height (SWH) using reflected signals.

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Area of Science:

  • Oceanography
  • Remote Sensing
  • Signal Processing

Background:

  • Real-time monitoring of sea conditions is crucial for maritime safety and research.
  • Traditional methods for sea state observation can be limited in scope and accessibility.
  • Global Navigation Satellite System (GNSS) reflected signals offer a promising avenue for remote sensing applications.

Purpose of the Study:

  • To develop and validate a custom hardware-based monitoring system utilizing GNSS reflected signals for real-time sea condition assessment.
  • To demonstrate the system's capability in extracting navigation signal positioning and reflected signal features.
  • To provide a practical and effective solution for sea surface wind speed and significant wave height (SWH) retrieval.

Main Methods:

  • Development of a custom hardware platform integrating Radio Frequency (RF), Field Programmable Gate Array (FPGA), Digital Signal Processing (DSP), and Raspberry Pi.
  • Implementation of real-time signal processing algorithms for GNSS reflected signals.
  • Conducting field tests at a coastal site to collect and analyze data.

Main Results:

  • The system successfully performed real-time signal processing and feature extraction from GNSS reflected signals.
  • Field experiments demonstrated the retrieval of sea surface wind speed and significant wave height (SWH).
  • Comparison with local weather station data confirmed the system's accuracy and practicality.

Conclusions:

  • The developed GNSS-based monitoring system provides a viable solution for real-time sea condition observation.
  • The custom hardware platform and retrieval algorithm are effective for measuring wind speed and SWH.
  • The system supports centralized monitoring, field experiments, and real-time maritime early warning capabilities.