论文部分内容阅读
对非均匀环境下利用单个数据集的机载雷达空时自适应处理(SDS-STAP)算法进行了研究。针对现有单个数据集类空时自适应算法存在的问题,提出了一种基于对待测数据集进行空时二维滑窗处理的二维幅度相位估计(2DAPES)算法。该算法利用回波的统计信息,不仅放宽了算法处理器对于雷达系统阵元数与脉冲数选取的约束,而且能够有效抑制杂波及待测单元内的干扰,同时降低了处理器的计算复杂度。最后,仿真数据及实测数据实验验证了所提算法的正确性与有效性。
The airborne radar space-time adaptive processing (SDS-STAP) algorithm using a single data set in a heterogeneous environment is studied. Aiming at the existing problems of the existing space-time adaptive algorithm for single data set, a 2DAPES algorithm is proposed based on space-time 2D sliding window processing of the data set to be measured. Using the statistical information of the echoes, the algorithm not only relaxes the constraints of the algorithm processor on the number of array elements and the number of pulses in the radar system, but also can effectively suppress the clutter and the interference in the unit to be measured, and at the same time, reduces the computational complexity of the processor . Finally, the simulation data and measured data experiment verify the correctness and validity of the proposed algorithm.