Reduced-dimension clutter suppression method for airborne multiple-input multiple-output radar based on three iterations

He Jie; Feng Da-zheng; Ma Lun

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Reduced-dimension clutter suppression method for airborne multiple-input multiple-output radar based on three iterations

机译：基于三迭代的机载多输入多输出雷达降维杂波抑制方法

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摘要

A reduced-dimension space time adaptive processing (STAP) for airborne multiple-input multiple-output (MIMO) radar based on three iterations is proposed. The optimum filter for MIMO-STAP is described as a separable filter, and the optimal weight vector in high dimension can be iteratively solved by three lower dimension weight vectors. Consequently, the quite high sample support and computational complexity in optimal MIMO-STAP can be efficiently reduced. For short data records, the proposed method can achieve better clutter suppression performance. Simulation results demonstrate the effectiveness of the proposed method.

机译：提出了一种基于三迭代的降维空时自适应处理（STAP）的机载多输入多输出（MIMO）雷达。 MIMO-STAP的最佳滤波器被描述为一个可分离的滤波器，高维的最佳权向量可以通过三个较低维的权向量来迭代求解。因此，可以有效地降低最佳MIMO-STAP中相当高的样本支持和计算复杂度。对于短数据记录，该方法可以实现更好的杂波抑制性能。仿真结果证明了该方法的有效性。

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来源
《Radar, Sonar & Navigation, IET》 |2015年第3期|249-254|共6页
作者
He Jie; Feng Da-zheng; Ma Lun;
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作者单位

Sch. of Inf. Eng., Chang'an Univ., Xi'an, China;

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原文格式 PDF
正文语种 eng
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关键词
MIMO radar; adaptive filters; airborne radar; computational complexity; iterative methods; radar clutter; radar signal processing; space-time adaptive processing; MIMO radar; airborne multiple-input multiple-output radar; computational complexity; iteration method; optimal MIMO-STAP; optimal weight vector; optimum filter; reduced-dimension clutter suppression method;

机译：MIMO雷达;自适应滤波器;机载雷达;计算复杂度;迭代方法;雷达杂波;雷达信号处理;时空自适应处理;MIMO雷达;机载多输入多输出雷达;计算复杂度;迭代法;最优MIMO-STAP最优权向量最优滤波器降维杂波抑制方法;

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Reduced-dimension clutter suppression method for airborne multiple-input multiple-output radar based on three iterations

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