Abstract

In this paper, the dependency of wave spectrum estimation on the analysis window orientation for X-band marine radar data is investigated. The investigation is made for the case where both wind wave and swell components are present. Our results show that more accurate and reliable wave spectrum estimates are obtained when one analysis window for each component (wind waves or swell) is used and is oriented in the up-wave direction of that component. The final wave spectrum estimation is found by averaging the output of those analysis windows. Since the direction of wind waves and swell is not known a priori, a new method is proposed to recursively determine the number and orientation of analysis windows. This method is referred to as the Adaptive Recursive Positioning Method (ARPM). For validation, ocean wave spectra are estimated from X-band marine radar field data using the ARPM and the standard method, using uniformly distributed analysis windows. The results from both methods are compared to ground truth wave spectra acquired using waverider buoy data. Results have shown that the ARPM produces a 10% improvement in the agreement (represented by the correlation coefficient) between the ground truth wave spectrum and the marine radar estimated wave spectrum. This improvement is reflected in a 15% to 30% accuracy enhancement in the wave period estimation and 6 ∘ in peak wave direction. The ARPM not only increases the accuracy of wave period and direction estimation, but it also increases the method’s reliability by producing a lower error standard deviation. Although these improvements are at the price of extra computational time, it has been found that this overhead is acceptable since it is far from the upper bound that requires offline analysis.

Highlights

  • Compared to traditional methods of estimating ocean wave spectra using surface buoys, methods which utilize marine radar may prove to be better in terms of mobility and flexibility

  • The best orientation of the analysis window should be in the up-wave direction where the effects of shadowing and tilt modulation are minimum and the backscatter intensity is maximum due to stronger Bragg scattering

  • In this paper, we propose to use multiple analysis windows oriented in the directions of wind waves and swell

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Summary

Introduction

Compared to traditional methods of estimating ocean wave spectra using surface buoys, methods which utilize marine radar may prove to be better in terms of mobility and flexibility. In addition to ocean wave spectrum and surface current estimation [10,11,12,13], this method has been developed further to estimate other sea state parameters or contributing factors such as wind vectors [14,15,16] and bathymetry [17,18] Many studies in this area have focused on minimizing the sources of error in the original method. To date the effects of shadowing and tilt modulation are not completely understood and no generic MTF form has been established yet Another source of error is the dependency of the returned radar signal strength on the azimuth direction.

Review of Wave Spectrum Estimation Using Marine Radar
Field Data Examples
Performance Validation
Conclusions and Future work

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