Clutter Suppression of Wind Farm for Airborne Radar Based on LRMO and MCA

The rapid development of wind power generation has caused the airborne radar to produce a large number of false targets due to the clutter generated by wind farms， leading to problems such as decreased detection probability， increased false alarm rate. Research on wind farm clutter mitigation technology for airborne radar is vital for the performance improvement of airborne radar. Considering the special problems of the wind farm clutter mitigation for airborne radar， such as the less prior information， the limited samples， and the more complicate spectrum of the echoes， the clutter is suppressed according to the different micro-motion feature variance of the wind turbine clutter and target with time based on low-rank matrix optimization （LRMO） algorithm when the clutter and the target are in different distance units. However， when the wind turbine clutter and the target are in the same distance unit， the morphological component analysis （MCA） algorithm is used to mitigate the clutter in which the different sparse characteristics of the target and the clutter is considered. The experimental results verify the effectiveness of the proposed method.