Accuracy Assessment of Surface Current Velocities Observed by OSMAR-S High-Frequency Radar System

Lai, Yeping; Zhou, Hao; Zeng, Yuming; Wen, Biyang

doi:10.1109/joe.2017.2769179

Cited by 13 publications

(6 citation statements)

References 19 publications

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“…It should be noted that ϕ L only affects the calculation of r R in (7). If equation ( 8) is used to calculate the bistatic angle β, ϕ L does not need to be considered.…”

Section: B Vessel Vector Velocity Estimation Methodsmentioning

confidence: 99%

“…inversion [1] and long-range sea-surface targets detection and tracking [2][3], compact high-frequency surface wave radar (HFSWR) has raised significant interest in recent years for their deployment flexibility and less space requirement [4]. Several representative compact HFSWR systems have been developed, e.g., the SeaSonde system [5][6], the OSMAR-S system [7][8], the WERA-S system [9], the CORMS system [10][11][12], etc. However, limited by the coarse bearing resolution due to reduced aperture size, compact HFSWR system operated in monostatic mode is difficult to provide accurate target position information.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Vessel Velocity Estimation and Tracking From Doppler Echoes of T/R-R Composite Compact HFSWR

Sun

Pang

Huang

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…It should be noted that ϕ L only affects the calculation of r R in (7). If equation ( 8) is used to calculate the bistatic angle β, ϕ L does not need to be considered.…”

Section: B Vessel Vector Velocity Estimation Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vessel Velocity Estimation and Tracking From Doppler Echoes of T/R-R Composite Compact HFSWR

Sun

Pang

Huang

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Subsequently, OSMAR2000 and OSMAR071 were successively invented, which featured frequency-modulated intermittent continuous-wave (FMICW) and phased-array antennas [31]. The capabilities of OSMAR for ocean current observations have been extensively validated and are consistent with the CODAR SeaSonde results [3,[32][33][34][35][36]. To address the high cost and space requirements of this radar system, a compact high-frequency radar system carrying two loops and a monopole, known as the OSMAR-S series, was developed [37].…”

Section: High-frequency Radar: Osmar-s100mentioning

confidence: 99%

Performance Assessment of a High-Frequency Radar Network for Detecting Surface Currents in the Pearl River Estuary

Zhu,

Lu,

Yang

et al. 2024

Remote Sensing

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The performance of a high-frequency (HF) radar network situated within the Pearl River Estuary from 17 July to 13 August 2022 is described via a comparison with seven acoustic Doppler current profilers (ADCPs). The radar network consists of six OSMAR-S100 compact HF radars, with a transmitting frequency of 13–16 MHz and a direction-finding technique. Both the radial currents and vector velocities showed good agreement with the ADCP results (coefficient of determination r2: 0.42–0.78; RMS difference of radials: 11–21.6 cm s−1; bearing offset Δθ: −4.8°–16.1°; complex correlation coefficient γ: 0.62–0.96; and phase angle α: −24.3°–17.8°). For these radars, the Δθ values are not constant but vary with azimuthal angles. The relative positions between the HF radar and ADCPs, as well as factors such as the presence of island terrain obstructing the signal, significantly influence the errors. The results of spectral analysis also demonstrate a high level of consistency and the capability of HF radar to capture diurnal and semidiurnal tidal frequencies. The tidal characteristics and the Empirical Orthogonal Function (EOF) results measured by the HF radars also resemble the ADCPs and align with the characteristics of the estuarine current field.

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“…Emery et al [18] evaluated radial current measurements from HF radars and moored current meters. Lai et al [19] conducted an accurate assessment of current velocities observed by the OSMAR-S HF radar system. Despite variations in the study area and the methods used to evaluate radar data, all of the aforementioned studies have demonstrated a strong correlation between radar and ADCP measurements.…”

Section: High-frequency Radarmentioning

confidence: 99%

Designing Theoretical Shipborne ADCP Survey Trajectories for High-Frequency Radar Based on a Machine Learning Neural Network

Zhu

Yang²,

Yang

et al. 2023

Applied Sciences

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A machine learning neural network-based design for shipborne ADCP navigation is proposed to improve the quality of high-frequency radar measurements. In traditional inversion algorithms for HF radars, sea surface velocity is directly extracted from electromagnetic echoes without constraints from oceanographic processes. Hence, we incorporated oceanographic information from observational data into seabed radar inversion results via an LSTM neural network model to enhance data accuracy. Through a series of numerical simulation experiments, we showed improved data accuracy and feasibility by incorporating both fixed-point and navigation observational data. The results indicate a significant reduction in (related) errors. This study has implications for guiding future navigation observations.

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Accuracy Assessment of Surface Current Velocities Observed by OSMAR-S High-Frequency Radar System

Cited by 13 publications

References 19 publications

Vessel Velocity Estimation and Tracking From Doppler Echoes of T/R-R Composite Compact HFSWR

Vessel Velocity Estimation and Tracking From Doppler Echoes of T/R-R Composite Compact HFSWR

Performance Assessment of a High-Frequency Radar Network for Detecting Surface Currents in the Pearl River Estuary

Designing Theoretical Shipborne ADCP Survey Trajectories for High-Frequency Radar Based on a Machine Learning Neural Network

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