Relationship Between DOA Estimation Error and Antenna Pattern Distortion in Direction-Finding High-Frequency Radar

2019 ◽  
Vol 16 (8) ◽  
pp. 1235-1239 ◽  
Author(s):  
Yeping Lai ◽  
Hao Zhou ◽  
Yuming Zeng ◽  
Biyang Wen
2019 ◽  
Vol 11 (3) ◽  
pp. 291 ◽  
Author(s):  
Simone Cosoli ◽  
Stuart de Vos

Direction-finding SeaSonde (4.463 MHz; 5.2625 MHz) and phased-array WEllen RAdar WERA (9.33 MHz; 13.5 MHz) High-frequency radar (HFR) systems are routinely operated in Australia for scientific research, operational modeling, coastal monitoring, fisheries, and other applications. Coverage of WERA and SeaSonde HFRs in Western Australia overlap. Comparisons with subsurface currents show that both HFR types agree well with current meter records. Correlation (R), root-mean-squares differences (RMSDs), and mean bias (bias) for hourly-averaged radial currents range between R = (−0.03, 0.78), RMSD = (9.2, 30.3) cm/s, and bias = (−5.2, 5.2) cm/s for WERAs; and R = (0.1, 0.76), RMSD = (17.4, 33.6) cm/s, bias = (0.03, 0.36) cm/s for SeaSonde HFRs. Pointing errors (θ) are in the range θ = (1°, 21°) for SeaSonde HFRs, and θ = (3°, 8°) for WERA HFRs. For WERA HFR current components, comparison metrics are RU = (−0.12, 0.86), RMSDU = (12.3, 15.7) cm/s, biasU = (−5.1, −0.5) cm/s; and, RV = (0.61, 0.86), RMSDV = (15.4, 21.1) cm/s, and biasV = (−0.5, 9.6) cm/s for the zonal (u) and the meridional (v) components. Magnitude and phase angle for the vector correlation are ρ = (0.58, 0.86), φ = (−10°, 28°). Good match was found in a direct comparison of SeaSonde and WERA HFR currents in their overlap (ρ = (0.19, 0.59), φ = (−4°, +54°)). Comparison metrics at the mooring slightly decrease when SeaSonde HFR radials are combined with WERA HFR: scalar (vector) correlations for RU, V, (ρ) are in the range RU = (−0.20, 0.83), RV = (0.39, 0.79), ρ = (0.47, 0.72). When directly compared over the same grid, however, vectors from WERA HFR radials and vectors from merged SeaSonde–WERA show RU (RV) exceeding 0.9 (0.7) within the HFR grid. Despite the intrinsic differences between the two types of radars used here, findings show that different HFR genres can be successfully merged, thus increasing current mapping capability of the existing HFR networks, and minimising operational downtime, however at a likely cost of slightly decreased data quality.


2020 ◽  
Vol 9 (1) ◽  
pp. 8
Author(s):  
Yeping Lai ◽  
Yuhao Wang ◽  
Hao Zhou

Direction-finding (DF) high-frequency radar (HFR) is preferred among the HFR family and is widely used around the world due to its compact structure. The correct determination of first-order peaks (FOPs) from Doppler spectra recorded by radar is a critical step toward attaining accurate mappings of surface currents. The commonly used FOPs determination method is generally sufficient for most situations. However, it needs six user-defined input parameters. These parameters result in complex procedures of optimizing the values of these six user-defined parameters. To simplify the FOPs determination for DF HFR, we propose an alternative method which only needs one user-defined parameter. To validate the reliability of the proposed method, we compare the FOPs determination results derived from the proposed method with those from the commonly used method on a data set covering a period of 256 days. The results indicate that the proposed method yields a similar FOPs determination result to the commonly used method. This proposed input-parameter-reduced method can greatly simplify the use of the HFR for users who are unprofessional in the HFR and promote the popularization and application of HFR.


2011 ◽  
Vol 33 (10) ◽  
pp. 2477-2482
Author(s):  
Huan He ◽  
Heng-yu Ke ◽  
Xian-rong Wan ◽  
Fang-zhi Geng

Sign in / Sign up

Export Citation Format

Share Document