Ocean wave spectrum reconstruction from HF radar data and its application to wave height estimation

TL;DR

This paper introduces a nonnegative sparse regularization algorithm for reconstructing ocean wave spectra from HF radar data, improving wave height estimation accuracy through stability analysis and numerical validation.

Contribution

It presents a novel spectral reconstruction algorithm based on nonnegative sparse regularization, with proven stability and demonstrated effectiveness in simulations.

Findings

Enhanced wave spectrum reconstruction accuracy

Validated stability of the proposed algorithm

Effective numerical simulation results

Abstract

Real-time estimation of ocean wave heights using high-frequency (HF) radar has attracted great attention. This method offers the benefit of easy maintenance by virtue of its ground-based installation. However, it is adversely affected by issues such as low estimation accuracy. As described herein, we propose an algorithm based on the nonnegative sparse regularization method to estimate the energy distribution of the component waves, known as the ocean wave spectrum, from HF radar data. After proving a stability estimate of this algorithm, we perform numerical simulations to verify the proposed method's effectiveness.