Arc Array Radar IAA-STAP Algorithm Based on Sparse Constraint

The radar with arc antenna array has the advantages of all-orientation space scanning, simultaneous estimation of pitch-azimuth angle and good antenna pattern. However, due to the special geometry of the antenna, the snapshots from different range cells are not independently and identically distributed (IID) samples, resulting in performance degradation in space-time adaptive processing (STAP). In this paper, the model of airborne radar with arc antenna array is established. The improved arc array-based iterative adaptive approach (IAA) algorithm is studied. The IAA algorithm is utilized to estimate the space-time spectrum. The sparse constraint method is used to reduce the clutter ridge width and improve the ability of suppressing clutter and detecting targets. Simulation experiments verify the effectiveness of the IAA algorithm in arc array radar.