基于多级维纳滤波器的非均匀ΣΔ-STAP研究

该文提出了基于多级维纳滤波器的非均匀ΣΔ-STAP并行块处理算法,在非均匀环境下能快速有效检测动目标。文中基于多级维纳滤波的广义旁瓣对消器结构,提出了联合主波束检测和自适应功率剩余检测的两级级联非均匀检测算法,能有效增强对弱干扰目标样本的检测能力。同时,将改进的并行块处理引入非均匀ΣΔ-STAP算法,极大地降低了系统运算量。理论分析和仿真实验表明,该算法能有效剔除干扰样本,提高动目标检测性能,收敛速度快,运算量小,鲁棒性强,易于工程实施。

Study onΣΔ-STAP in Nonhomogeneous Environment Based on Multistage Wiener Filter

In this paper,an efficient and robust ΣΔ-STAP algorithm for moving targets detection in nonhomo- geneous environment is investigated,which is implemented based on Multistage Wiener Filter(MWF).For culling the training data,a two stages hybrid nohomogeneous detection algorithm is proposed.Based on the general sidelobe canceller structure of MWF,the training data can be firstly censored by the mainbeam output and then followed by the Adaptive Power Residual(APR)detection.In addition,the modified Concurrent Block Processing(CBP) is introduced into the ΣΔ-STAP algorithm, which can significantly reduce the computational load. Theoretical analysis and simulation results are presented to demonstrate that, the aforementioned approach can effectively detect the outliers and improve the targets detection performance. This approach has the advantage of fast convergence, low computation load, and good robustness, which is feasible for engineering application.