机载相控阵雷达STAP递推数据处理

STAP Recursive Data Processing for Airborne Phased Array Radar

空时自适应处理(STAP)是机载相控阵雷达抑制地杂波和干扰,并检测动目标的关键技术。为减少STAP算法的运算量,缓解空时二维快拍数据的不均匀性问题,本文引入了一种新的递推算法。该算法基于距离单元快拍进行递推。本文把该算法与几种常规子空间跟踪算法的杂波干扰抑制性能进行了比较。仿真表明了新算法的有效性。

Space-time adaptive processing (STAP) is a key technology for airborne phased array radar to suppress ground clutter and jamming as well as to detect moving targets. In order to reduce the computational complexity of STAP algorithm and alleviate the non-uniformity of space-time two-dimensional snapshot data, a new recursive algorithm is introduced in this paper, and the algorithm is recursive based on snapshots of distance unit. In this paper, the clutter suppression performance of this algorithm is compared with that of several conventional subspace tracking algorithms, and the new algorithm turns out to be effective through the simulation.