Wind turbine interference suppression in HF-radar data

High-frequency surface wave radar (HFSWR) is recognized as one of the essential tools for remote sensing of the ocean surface. HFSWR received data contains valuable information that can be used for ocean wave forecasting, and since it provides real-time data, it can be applied for search and rescue operations, oil and pollution spills, and tsunami detection. When HFSWR is located close to the wind turbine farm, the spinning blades of wind turbines adversely affect the radar received data. In this project, we plan to investigate a real-time technique to estimate the turbine parameters and develop a method to mitigate the interference of the wind turbine in HFSWR received data for an arbitrary number of wind turbines.

Faculty Supervisor:

Reza Shahidi

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Ocean Tech; Other

University:

Memorial University of Newfoundland

Program: