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A Blind Direction of Arrival and Mutual Coupling Estimation Scheme for Nested Array

机译:嵌套数组的到达与互耦合盲估计方向

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Generally, nested array (NA) is susceptible to mutual coupling due to the dense subarray, which seriously degrades the performance. To address this issue, we design an array switching-based scheme to achieve the blind direction of arrival (DOA) and mutual coupling estimation in this paper. Specifically, by exploiting the inherent sparse structural characteristics of NA, we first switch the sparse subarray on to perform initial DOA estimation, which enables to offer the well-performed estimates free from the severe mutual coupling effect. Subsequently, the unambiguous angles are determined with low complexity by utilizing the received signal of the whole NA. Furthermore, the contaminated steering vector is reconstructed and a quadratic optimization problem is established to estimate the mutual coupling coefficients. Finally, re-estimation is conducted to obtain the refined estimates. Numerical simulations demonstrate the superiority of the proposed scheme.
机译:通常,由于密集的子阵列,嵌套阵列(NA)易于相互耦合,这严重降低了性能。为了解决这个问题,我们设计了一种基于阵列切换的方案来实现盲到达方向(DOA)和互耦估计。具体来说,通过利用NA固有的稀疏结构特征,我们首先打开稀疏子阵列以执行初始DOA估计,这使得能够提供性能良好的估计,而没有严重的相互耦合效应。随后,通过利用整个NA的接收信号以低复杂度确定明确的角度。此外,重建了污染的转向矢量,并建立了一个二次优化问题来估计相互耦合系数。最后,进行重新估计以获得精确估计。数值模拟表明了该方案的优越性。

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