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首页> 外文会议>International Conference on Information Science, Computer Technology and Transportation >Tensor Based Angle Estimation Scheme for Strictly Noncircular Sources in Bistatic MIMO Radar
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Tensor Based Angle Estimation Scheme for Strictly Noncircular Sources in Bistatic MIMO Radar

机译：基于抗体基于虚拟MIMO雷达的非频源的角度估计方案

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摘要

In this paper, joint direction of departure (DOD) and direction of arrival (DOA) estimation for strictly noncircular sources in multiple-input multiple-output (MIMO) radar is dealt with by a novel tensor based subspace method. The proposed method firstly formulates a novel augmented tensor for capturing both the noncircularity and inherent multidimensional structure of strictly noncircular signals, and then a tensor based signal subspace is constructed by utilizing the high-order singular value decomposition (HOSVD). Finally, the DODs and DOAs are achieved by calculating the rotational invariance factors corresponding to the augmented steering matrix. The proposed method provides better angle estimation performance than the existing subspace based algorithms, especially in the case of low SNR and a small number of snapshots. In addition, the DODs and DOAs are paired automatically. The effectiveness and advantages of the proposed method are demonstrated via simulation results.
机译：本文采用了一种新的基于卷的子空间方法处理了多输入多输出（MIMO）雷达中严格非弯曲源的联合方向（DOD）和到达方向（DOA）估计。所提出的方法首先制定了一种新的增强张量，用于捕获严格非频道信号的非圆形度和固有的多维结构，然后通过利用高阶奇异值分解（Hosvd）来构建张量的信号子空间。最后，通过计算与增强转向矩阵对应的旋转不变性因子来实现国防部和DOA。所提出的方法提供比现有的基于子空间的算法更好的角度估计性能，尤其是在低SNR和少量快照的情况下。此外，DOD和DOAS自动配对。通过模拟结果证明了所提出的方法的有效性和优点。

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