Resolution-Limit Area Minimization Based Polarization-Sensitive Array for Robust Adaptive Interference Cancellation

The adaptive array, which can distinguish the interference from the signal of interest (SoI) by the adaptive algorithm, is crucial for radar anti-interference. However, it has a resolution-limit area (RLA) that results in the loss of SoI while suppressing interference, such as mainlobe interference. A polarization-sensitive array (PSA) optimization method based on RLA minimization is proposed to address this problem. The RLA criterion is established in view of interference cancellation quality and anti-interference demand index, and the RLA model based on PSA is proposed. The quantitative mapping relationship between array manifold parameters and RLA distribution parameters is established. It is found that element spacing can significantly affect the RLA. Then, a PSA optimization method that can minimize the RLA by optimizing the element spacing is proposed. The robustness of the adaptive algorithm in a complex electromagnetic environment is improved by reducing the RLA of the array.