A hybrid method for surface current estimation using X-band nautical radar

Al-Habashneh, Al-Abbass; Moloney, Cecilia; Gill, Eric W.; Huang, Weimin

doi:10.1109/irs.2015.7226253

Cited by 1 publication

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unfortunately, U is unknown. However, several methods have been proposed to estimate it [6,[10][11][12]19,23].…”

Section: Review Of Wave Spectrum Estimation Using Marine Radarmentioning

confidence: 99%

“…Many studies in this area have focused on minimizing the sources of error in the original method. For example, several methods have been proposed to enhance the accuracy of surface current estimation which is used to exclude the non-wave spectrum component from the wave spectrum and to calculate the spectrum signal to noise ratio (SNR) [11,12,19]. Other studies focused on the Modulation Transfer Function (MTF) which is used to compensate for the distortion presented in the wave spectrum due to the radar imaging process [4,9,20].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Adaptive Method of Wave Spectrum Estimation Using X-Band Nautical Radar

et al. 2015

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…Unfortunately, U is unknown. However, several methods have been proposed to estimate it [6,[10][11][12]19,23].…”

Section: Review Of Wave Spectrum Estimation Using Marine Radarmentioning

confidence: 99%