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DOA estimation using cross-correlation matrix

机译:使用互相关矩阵进行DOA估计

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摘要

In this paper, a computationally efficient algorithm to estimate two-dimensional (2-D) direction-of-arrival (DOA) angles of narrowband signals impinging on an L-shape array is proposed. This report was inspired by the work of Tayem and Kwon, who developed a fast algorithm for estimating 2-D DOAs using the propagator method (PM) of the L-shape array (PMLA). Although PMLA is efficient, its performance is inferior to the subspace based methods in terms of estimation accuracy. Moreover, the correlation information between the L-shape subarray sensors is not fully utilized. This motivates us to develop a subspace-based method by exploiting the L-shape array geometry and the cross-correlation information among sensor data. Simulation results show the effectiveness and validation of advantages of the proposed method in comparison to PMLA and other estimation algorithms.
机译:本文提出了一种计算效率高的算法,用于估计撞击在L形阵列上的窄带信号的二维(2-D)到达方向(DOA)角。该报告的灵感来自Tayem和Kwon的工作,他们开发了一种使用L形阵列(PMLA)的传播子方法(PM)估算二维DOA的快速算法。尽管PMLA是有效的,但在估计精度方面其性能不如基于子空间的方法。而且,L形子阵列传感器之间的相关性信息没有被充分利用。这激发我们通过利用L形阵列几何形状和传感器数据之间的互相关信息来开发基于子空间的方法。仿真结果表明,与PMLA和其他估计算法相比,该方法的有效性和优势验证。

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