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首页> 外文期刊>Journal of circuits, systems and computers >Blind Joint DOA and Polarization Estimation for Polarization-Sensitive Coprime Arrays Via Reduced-Dimensional Root Finding Approach
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Blind Joint DOA and Polarization Estimation for Polarization-Sensitive Coprime Arrays Via Reduced-Dimensional Root Finding Approach

机译:通过减少维根发现方法对偏振敏感的基准阵列的盲接头和极化估计

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摘要

In this paper, we investigate the problem of blind joint multi-parameter estimation for polarization-sensitive coprime linear arrays (PS-CLAs). We propose a reduced-dimensional polynomial root finding approach, which first utilizes the relation between the two subarrays to reconstruct the spectrum function and then converts three-dimensional (3D) total spectral search (TSS) to one-dimensional (1D) TSS. Furthermore, 1D polynomial root finding technique is employed to obtain the ambiguous direction of arrival (DOA) estimates, for further saving the computational cost. Finally, the true DOA estimates can be obtained based on the arrangements with coprime property, and subsequently the polarization parameters can be estimated through pairing. In addition, the matching error of false targets can be avoided due to the relation between the two subarrays. The proposed approach only requires about 0.01% computational complexity of the 1D TSS method to achieve the same estimation performance and behaves better in resolution. Simulations are provided to validate the superiority of the proposed approach.
机译:在本文中,我们研究了偏振敏感的敏感性共同线性阵列(PS-CLA)的盲接环多参数估计问题。我们提出了一种减少维度的多项式根发现方法,其首先利用两个子阵列之间的关系来重建频谱函数,然后将三维(3D)总光谱搜索(TSS)转换为一维(1D)TSS。此外,采用1D多项式根发现技术来获得模糊的到达方向(DOA)估计,以进一步节省计算成本。最后,可以基于具有共协调性的布置获得真正的DOA估计,随后可以通过配对估计偏振参数。另外,由于两个子阵列之间的关系,可以避免虚假目标的匹配误差。所提出的方法仅需要大约0.01%的1D TSS方法计算复杂性,以实现相同的估计性能并在分辨率下表现更好。提供模拟以验证所提出的方法的优越性。

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