Innovative Signal Processing Techniques for Mitigation of Wind Turbine Farm Interference in Airborne Radar Systems

An innovative, new adaptive signal processing solution is proposed for mitigation of the impact that wind turbine clutter has on airborne radar performance. Electromagnetic simulations are used to predict radar returns in the presence of wind turbine scattering, terrain multipath, and clutter from terrain and sea surfaces, not only for use in assessment of the solution, but also as a part of the intelligent mitigation approach, providing a method for training the algorithms for a wide variety of conditions and environments. Building on previous work for ground-based radar, the approach employs methods for handling the dynamic clutter environment in airborne operation, and techniques to rapidly adapt and train as new regions enter the radar field of view. The final solution will be a knowledge-aided process, that identifies key features of wind turbine clutter and applies adaptive algorithms to improve radar probability of detection and reduce probability of false alarms.