Windfarm Interference Mitigation Using Compressive Sensing Techniques and Tilted-Wire Scatterer Model

Surveillance and tracking radars, operating in the presence of high static and the dynamic clutter generated by the rotating blades of wind turbines in windfarms, have a huge task of mitigating such interference without compromising genuine target return signals. This has been of much interest in the radar research community in recent years. This poses a significant threat to the air traffic control operations and related safety aspects of civil and military aircraft. As part of an ongoing development of mitigation techniques worldwide against this interference we present a novel technique based on compressive sensing signal processing and the use of a tilted-wire scatterer model in the formation of a dictionary. We demonstrate with real data that mitigation of windfarm interference can be achieved without compromising components from targets of interest.