4.6 Article

Multifunctional Scatterometer System for Measuring Physical Oceanographic Parameters Using Range-Doppler FMCW Radar

期刊

SENSORS
卷 22, 期 8, 页码 -

出版社

MDPI
DOI: 10.3390/s22082890

关键词

multifunctional scatterometer; FMCW radar; range-doppler process; ocean observation

资金

  1. Korea Hydrographic and Oceanographic Agency (KHOA)
  2. Ministry of Science and ICT (MSIT), Korea, under the ITRC (Information Technology Research Center) support program [IITP-2020-01424]

向作者/读者索取更多资源

This paper describes a multifunctional scatterometer system and optimized radar signal processing method for simultaneous observation of various physical oceanographic parameters. By integrating separate measurement functions into a single observation system, the efficiency of system operation and cross-analysis of observation data are improved. The operability of the proposed system was examined through field campaigns, and the observation data was cross-analyzed with in-situ data, showing high accuracy.
A multifunctional scatterometer system and optimized radar signal processing for simultaneous observation of various physical oceanographic parameters are described in this paper. Existing observation methods with microwave remote sensing techniques generally use several separate systems such as scatterometer, altimeter, and Doppler radar for sea surface monitoring, which are inefficient in system operation and cross-analysis of each observation data. To improve this point, we integrated separate measurement functions into a single observation system by adding a measurement function of Doppler frequency to the existing system. So it enables to simultaneously measure the range and polarimetric responses of backscattering as well as movements of the sea surface. Here, the simultaneous measurement function of Doppler frequency was implemented by sampling an FMCW (frequency modulated continuous wave) radar signal as 2D raw data consisting of fast- and slow-time samples, i.e., the range and backscattering of radar target signals are analyzed from the fast-time samples while the Doppler frequency by the radar target's movement extracts from the slow-time samples. Through the Fourier transformed-based range-Doppler signal process, distance (R), backscattering (sigma degrees), and Doppler frequency (f(D)) are sequentially extracted from the 2D raw data, and a correlation to the physical oceanographic parameters is analyzed. Operability of the proposed system was examed through total 3 times of field campaigns from June 2017 to August 2020 and the observation data retrieved by the radar measurement data (R, sigma degrees, f(D)) was also cross-analyzed with in-situ data: e.g., tide, significant wave height, and wind speed and direction. Differences in the comparative results as an observational accuracy are as follows. Tidal level (Root Mean Square Error 0.169 m (R)), significant wave height (RMSE 0.127 m (R), 0.362 m (sigma degrees)), wind speed (RMSE 1.880 m/s (f(D)), 2.094 m/s (sigma degrees)) and direction (18.84 degrees (f(D))).

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