研究目的
To improve the accuracy and robustness of airborne GNSS-R data processing under non-optimal conditions by optimizing the determination of reflected waveform peaks.
研究成果
The study concludes that optimizing the detection of waveform maxima through techniques like smoothing, incoherent averaging, and direct signal mitigation can significantly improve the accuracy and robustness of GNSS-R data processing, enabling the retention of more data for scientific analysis.
研究不足
The study acknowledges the challenges of processing GNSS-R data under non-optimal conditions, such as low reflectivity surfaces and contamination from direct signals, which can affect the accuracy of peak detection.
1：Experimental Design and Method Selection:
The study analyzes data from the GLORI instrument to improve waveform processing, focusing on peak detection in reflected signals.
2：Sample Selection and Data Sources:
Data were collected during an airborne campaign in the south west of France in June 2015, covering agricultural areas, forest areas, and bodies of water.
3：List of Experimental Equipment and Materials:
The GLORI GNSS-R polarimetric instrument with up-looking and down-looking antennas.
4：Experimental Procedures and Operational Workflow:
Techniques include smoothing of peak locations, incoherent averaging, and direct signal mitigation to improve peak detection.
5：Data Analysis Methods:
The study compares different methods for tracking waveform peaks and evaluates their effectiveness under various conditions.
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