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A Cascaded Reduced-Dimension STAP Method for Airborne MIMO Radar in the Presence of Jammers

机译:存在干扰的机载MIMO雷达的级联降维STAP方法

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摘要

A cascaded reduced-dimension (RD) space-time adaptive processing (STAP) method for airborne multiple-input multiple-output (MIMO) radar in the presence of jammers is proposed in this paper. The proposed MIMO-STAP method for clutter plus jamming suppression proceeds in two steps. Firstly, the jamming is suppressed by its orthogonal complementary subspace obtained in the passive radar mode, while the receive dimension is reduced. Secondly, the tri-iterative algorithm (TRIA) is utilized to suppress the clutter combining the remaining receive degree of freedom (DOF) with the transmit DOF and the Doppler DOF, and further dimension reduction is implemented. The proposed method can effectively realize the separate jamming and clutter elimination. Moreover, the training sample number and the computational complexity are significantly decreased. Simulation results verify the validity of the proposed cascaded RD MIMO-STAP method under jamming condition.
机译:提出了一种在存在干扰源的情况下机载多输入多输出雷达的级联降维时空自适应处理方法。提出的用于抑制杂波和干扰的MIMO-STAP方法分两步进行。首先,通过在无源雷达模式下获得的正交互补子空间来抑制干扰,同时减小接收尺寸。其次,利用三迭代算法(TRIA)抑制杂波,将剩余的接收自由度(DOF)与发射自由度和多普勒自由度相结合,并实现进一步的尺寸减小。所提出的方法可以有效地实现分离的干扰和杂波消除。而且,训练样本数量和计算复杂度显着降低。仿真结果验证了所提出的级联RD MIMO-STAP方法在干扰条件下的有效性。

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