Abstract
This study proposes a significant wave height (SWH) retrieval method based on multi-satellite observations using Global Navigation Satellite System Reflectometry (GNSS-R). The algorithm obtains the signal-to-noise ratio (SNR) through delay-Doppler maps (DDMs) and introduces an offset correction that combines the differences between the elevation angles of multi-satellites. The correction improves the correlation between SNR and SWH and thus enables the estimation of SWH. The feasibility of the proposed algorithm was verified by experiments and a performance comparison with the traditional estimation method based on SNR. The estimation results of the proposed algorithm, with a mean absolute percentage error of 8.26%, a root mean square error of 0.1671 m, and a maximum error of 0.32 m, better matched the true values than the traditional SNR-based method. The method is intended to improve the retrieval accuracy of SWH based on the GNSS-R technique, and to provide services for sea-state information monitoring and ship navigation.
Highlights
The ocean occupies approximately 71% of the earth
The method is intended to improve the retrieval accuracy of significant wave height (SWH) based on the Global Navigation Satellite System Reflectometry (GNSS-R) technique, and to provide services for sea-state information monitoring and ship navigation
Maritime information is acquired by marine stations, synthetic aperture radar (SAR), radar altimeters, unmanned aerial vehicles (UAVs)-borne measurements and other active observational approaches [2,3,4,5,6,7,8]
Summary
The ocean occupies approximately 71% of the earth. Marine disaster warnings, ocean-going and polar navigation all require accurate ocean state information [1]. Marine environment detection has great application value and strategic significance. Significant wave height (SWH), and sea targets are important physical parameters that reflect the sea-state and navigation environment. Maritime information is acquired by marine stations, synthetic aperture radar (SAR), radar altimeters, unmanned aerial vehicles (UAVs)-borne measurements and other active observational approaches [2,3,4,5,6,7,8].
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