Localized STAP approach with improved quiescent pattern control

The performance of adaptive signal processing in airborne phased radar is decreased greatly in the clutter environment. An improved quiescent pattern control approach is provided to solve this problem. The new approach uses a novel constraint which estimates the solution via Taylor series, where adaptive processing is non-orthogonal which is limited in localized processing region. The approach can mitigate clutter efficiently while maintain lower sidelobe. It has low sample support requirement, convenient implementation and low computation load. Performance analysis is carried out using simulated data. The results prove the effectiveness of the proposed approach in improving the reduced-rank STAP framework in beam-space.