用于从高频雷达进行时域有效波高估计的窗口包络统计
Windowed Envelope Statistics for Time-Domain Significant Wave Height Estimation From HF Radar
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中文总结 AI 辅助
提出窗口包络统计估计器（WESE），直接从时域电压估计有效波高，无需多普勒谱，在实测数据中RMSE达0.152米，较现有模型误差降低32.1%。
中文摘要 AI 辅助
从高频（HF）雷达反演有效波高（SWH）通常依赖于对噪声、干扰和频谱泄漏敏感的弱二阶多普勒连续谱。本文提出了一种窗口包络统计估计器（WESE），它直接对波束形成后的时域电压进行操作。由粗糙表面场方程的诺伊曼展开得到的二阶项，激发了对局部雷达特征进行二次补偿。WESE从同相、正交或包络幅度序列的重叠窗口中提取均值、标准差或方差，随后进行二次补偿、排序、最小二乘回归和因果平滑。评估使用了来自纽芬兰与拉布拉多省阿根蒂亚的13.385 MHz、12单元WERA系统的335个同步小时观测数据。最优配置采用正交方差、16样本窗口、896个保留的按时间顺序排列的样本和30小时平滑，实现了0.152米的均方根误差（RMSE）和0.978的皮尔逊相关系数。与先前报道的线性和二阶补偿有序统计模型相比，这分别代表了RMSE降低32.1%和18.7%。结果表明，无需显式构建多普勒谱即可实现稳健的时域SWH估计。
英文摘要
Significant wave height (SWH) retrieval from high-frequency (HF) radar typically relies on a weak second-order Doppler continuum that is sensitive to noise, interference, and spectral leakage. This letter presents a Windowed Envelope Statistics Estimator (WESE) that operates directly on beam-formed time-domain voltages. A second-order term obtained from a Neumann expansion of the rough-surface field equation motivates quadratic compensation of localized radar features. WESE extracts the mean, standard deviation, or variance from overlapping windows of the in-phase, quadrature, or envelope-magnitude sequence, followed by quadratic compensation, rank ordering, least-squares regression, and causal smoothing. Evaluation used 335 synchronized hourly observations from a 13.385 MHz, 12-element WERA system at Argentia, Newfoundland and Labrador. The optimal configuration used quadrature variance, a 16-sample window, 896 retained chronological samples, and 30-h smoothing, achieving an RMSE of 0.152 m and a Pearson correlation of 0.978. This represents RMSE reductions of 32.1% and 18.7% relative to previously reported linear and second-order compensated ordered-statistics models, respectively. The results demonstrate robust time-domain SWH estimation without explicit Doppler-spectrum construction.
发表机构
- Memorial University of Newfoundland（纽芬兰纪念大学）
机构由 AI 辅助整理，请以论文原文为准。
