Coprime array adaptive beamforming with enhanced degrees-of-freedom capability
Coprime array adaptive beamforming with enhanced degrees-of-freedom capability
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DOI：
10.1109/radar.2017.7944417
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发表时间：
2017-05
期刊：
影响因子：
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通讯作者：
Chengwei Zhou;Zhiguo Shi;Yujie Gu
中科院分区：
文献类型：
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作者：
Chengwei Zhou;Zhiguo Shi;Yujie Gu
本文提出了一种基于虚拟阵列空间谱估计的互质阵列自适应波束形成算法，以提高自适应波束形成的自由度能力。具体来说，将互质阵列接收信号导出到虚拟域，在等效虚拟均匀线阵上进行谱估计。由于虚拟阵列包含比物理传感器更多的虚拟传感器，自由度的能力有效地提高。同时，互质阵列提供的大阵列孔径提供了比均匀线阵更高的分辨率。利用估计的信源方向和干扰功率，通过重构干扰加噪声协方差矩阵和期望信号导向矢量，设计互质阵列自适应波束形成器。仿真结果验证了所提出的自适应波束形成算法的有效性。
In this paper, we propose a novel coprime array adaptive beamforming algorithm based on virtual array spatial spectrum estimation to enhance the degrees-of-freedom (DOFs) capability. Specifically, the coprime array received signals are derived to virtual domain, where the spectrum estimation is performed on an equivalent virtual uniform linear array. Since the virtual array contains more virtual sensors than physical sensors, the DOFs capability is effectively enhanced. Meanwhile, the large array aperture offered by coprime array provides a higher resolution than uniform linear array. With the estimated sources' directions and interferences' power, the coprime array adaptive beamformer is designed by reconstructing the interference-plus-noise covariance matrix and desired signal steering vector. Simulation results demonstrate the effectiveness of the proposed adaptive beamforming algorithm.