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Wave Measurements Using Multi-Frame Processing of Marine Radar Data.

David Lyzenga¹, Mirko Previsic²

¹Naval Architecture and Marine Engineering Department, University of Michigan, Ann Arbor, MI 48109, USA.

Sensors (Basel, Switzerland)

|August 28, 2021

Summary

This study introduces a novel method to improve marine radar accuracy for ocean wave measurements by combining data from multiple frames. This approach minimizes errors from look-angle bias and noise, enhancing wave estimation reliability.

Keywords:

marine radar ocean waves remote sensing

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Area of Science:

Oceanography
Remote Sensing
Signal Processing

Background:

Marine radars are valuable tools for observing ocean waves.
Measurement accuracy is compromised by look-angle dependent radar signals and data noise.
Look-angle dependence introduces systematic bias, while noise causes random errors.

Purpose of the Study:

To develop an optimal method for combining marine radar data frames.
To minimize errors in ocean wave measurements affected by bias and noise.
To enhance the accuracy of radar-based wave estimates.

Main Methods:

A novel method for integrating data from multiple marine radar frames is described.
The technique is designed to optimally minimize errors in biased measurements with random noise.
The approach focuses on mitigating systematic bias and random error components.

Main Results:

Experimental results demonstrate a significant increase in the correlation between radar estimates and buoy measurements.
The proposed method effectively reduces the impact of look-angle dependence and noise.
Improved accuracy in ocean wave height and period estimations was achieved.

Conclusions:

Combining data from multiple radar frames offers an effective strategy to enhance marine radar accuracy for wave measurements.
The developed method provides a robust solution for overcoming limitations posed by signal bias and noise.
This technique improves the reliability and precision of remote sensing data for oceanographic applications.