Modeling and Suppression of Wind Turbine Clutter Based on Space-Air Bistatic Radar Configuration

The space-air bistatic radar system is affected by wind turbine clutter (WTC), which broadens its clutter spectrum and reduces the performance of space-time adaptive processing estimated by the covariance matrix. A clutter suppression method has been proposed to address this issue based on the space-time multiple-beam combined with the OPTICS (Ordering points to identify the clustering structure) clustering idea. This method effectively solves the problem of WTC suppression by screening WTC-containing samples and clustering data after clutter suppression. Simulation experiments have confirmed the effectiveness of this algorithm.