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Robust auto-focusing wideband DOA estimation

机译:可靠的自动聚焦宽带DOA估计

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Within the last decade there has been a growing interest in developing techniques for the estimation of the direction of arrival (DOA) of waveftonts carrying wideband signals in order to locate the emitting sources. The coherent signal-subspace method (CSM) is one of the most largely adopted iterative technique based upon the concept of signal-subspace, due to its ability in handling coherent sources, while showing very good detection and resolution thresholds, low bias and high accuracy. Central to CSM is the use of the so-called focusing matrices, whose characteristics strongly influence its overall performance. In the literature, several focusing matrices have been proposed and the most effective of them often require initial estimation of the DOAs, which could be a drawback for the overall estimation procedure. Furthermore classical focusing design techniques do not take into account the fact that at each iteration of the algorithm estimated DOAs may differ from the actual ones on which the manifold should be focused. In this paper we propose a novel focusing matrices design technique aimed at counteracting some of the main disadvantages of other classical focusing matrices. It is shown that the classes of Rotational Signal Subspace and Signal Subspace Transformation focusing matrices leave room for further optimization of the available degrees of freedom, that are exploited here to create a CSM robust against DOA estimation errors. For this reason, the proposed method is referred to as robust coherent signal-subspace inethod (R-CSM). Thanks to the peculiarities of these novel focusing matrices, the initial preprocessing stage of the classical CSM is no longer required. Furthermore, the convergence speed is improved, because at each iteration the degrees of freedom are used to concentrate the focusing closer and closer about the estimated DOAs. (c) 2005 Elsevier B.V. All rights reserved.
机译:在过去的十年中,人们对开发用于估计携带宽带信号的波峰的到达方向(DOA)的技术越来越感兴趣,以便确定发射源。相干信号子空间方法(CSM)是基于信号子空间概念的最广泛采用的迭代技术之一,因为它具有处理相干源的能力,同时显示出非常好的检测和分辨率阈值,低偏差和高精度。 CSM的核心是使用所谓的聚焦矩阵,其特性强烈影响其整体性能。在文献中,已经提出了几种聚焦矩阵,其中最有效的矩阵通常需要对DOA进行初始估计,这可能是整个估计过程的一个缺点。此外,经典的聚焦设计技术没有考虑以下事实:在算法的每次迭代中,估计的DOA可能与歧管应聚焦的实际DOA有所不同。在本文中,我们提出了一种新颖的聚焦矩阵设计技术,旨在抵消其他经典聚焦矩阵的一些主要缺点。结果表明,旋转信号子空间和信号子空间变换聚焦矩阵的类别为可用自由度的进一步优化留有空间,在这里利用这些空间来创建针对DOA估计误差的鲁棒CSM。由于这个原因,所提出的方法被称为鲁棒相干信号子空间思想(R-CSM)。由于这些新颖的聚焦矩阵的特殊性,不再需要经典CSM的初始预处理阶段。此外,由于在每次迭代中使用自由度将聚焦越来越集中在估计的DOA上,因此提高了收敛速度。 (c)2005 Elsevier B.V.保留所有权利。

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