Reduced-DOF Three-Dimensional STAP via Subarray Synthesis for Nonsidelooking Planar Array Airborne Radar
Reduced-DOF Three-Dimensional STAP via Subarray Synthesis for Nonsidelooking Planar Array Airborne Radar
复制标题
非侧视平面阵列机载雷达通过子阵合成的减自由度三维 STAP
DOI：
10.1109/taes.2019.2958174
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发表时间：
2020-08
影响因子：
4.4
通讯作者：
Yongliang Wang
中科院分区：
文献类型：
--
作者：
Keqing Duan;Hong Xu;Huadong Yuan;Hongtu Xie;Yongliang Wang
与传统的二维空时自适应处理(2D-STAP)方法相比，仰角-方位-多普勒三维空时自适应处理(3D-STAP)方法在抑制非平稳杂波方面具有优势。因此，它适用于非侧视机载雷达(Non-SLAR)应用。然而，其庞大的训练数据需求和计算量往往超出了雷达在实际杂波环境中的能力。在这种通信中，我们开发了一种简单但有效的减少自由度(DOF)3D-STAP方法，该方法在保持次优杂波抑制性能的同时显著减少了所需的训练数据和计算复杂度。该方法将平面阵列数据分别变换为方位向和仰角方向的线阵数据，从而在STAP之前形成等价的十字形波束。因此，STAP只直接使用了几个空间自由度，包括方位和仰角维度，从而在抑制非平稳杂波方面具有潜在的优势，并大大减少了对训练数据的需求和计算量。在此基础上，推导了平面阵列和变换后的十字形阵列的杂波阶估计准则，并详细讨论了该方法所需的仰角自由度。对非SLAR杂波抑制的仿真表明，该STAP方法在收敛速度和计算复杂度方面均优于现有的3D-STAP方法。
Compared with conventional two-dimensional space-time adaptive processing (2D-STAP) methods, the elevation-azimuth-Doppler three-dimensional space-time adaptive processing (3D-STAP) method has the advantage of suppressing nonstationary clutter. Thereby, it is suitable for nonsidelooking airborne radar (non-SLAR) applications. However, its huge training data requirements and computational load are often beyond radar's ability in practical clutter environments. In this correspondence, we develop a simple but efficient reduced-degree-of-freedom (DOF) 3D-STAP method that significantly reduces the required training data and the computational complexity while maintaining the suboptimal clutter suppression performance. The proposed method transforms the planar array data into linear array data in azimuth and in elevation, respectively, thereby beamforming an equivalent cross-shape array prior to STAP. In consequence, only a few spatial DOFs, including azimuth and elevation dimension, are used for STAP directly resulting in the potential advantage for nonstationary clutter suppression and drastically reducing training data requirements and computational load. Furthermore, the clutter rank estimation rules of the planar array and the transformed cross-shape array are derived, and the required elevation DOFs of the proposed method are further discussed in detail. Simulations for clutter suppression of non-SLAR show that the proposed STAP method outperforms the state-of-the-art 3D-STAP method in terms of convergence and computational complexity.
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影响因子：
1.7
作者：
Jianxin Wu;Tong Wang;Xiangdong Meng;Z. Bao
通讯作者：
Jianxin Wu;Tong Wang;Xiangdong Meng;Z. Bao
DOI：
10.1109/acssc.2004.1399138
发表时间：
2004-11
期刊：
Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004.
影响因子：
--
作者：
L. Fertig
通讯作者：
L. Fertig
DOI：
10.1109/radar.2007.374295
发表时间：
2007-04
期刊：
2007 IEEE Radar Conference
影响因子：
--
作者：
P. Corbell;J. J. Perez-J.;M. Rangaswamy
通讯作者：
P. Corbell;J. J. Perez-J.;M. Rangaswamy
影响因子：
5.4
作者：
Guohua Wang;Yilong Lu
通讯作者：
Guohua Wang;Yilong Lu
DOI：
10.1109/sam.2006.1706205
发表时间：
2006-07
期刊：
Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.
影响因子：
--
作者：
P. Corbell;M. Temple;T. D. Hale
通讯作者：
P. Corbell;M. Temple;T. D. Hale