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Joint DOA estimation and source number detection for arrays with arbitrary geometry

机译:任意几何阵列的联合DOA估计和源数目检测

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In this paper, we focus on the problem of joint direction-of-arrival (DOA) estimation and source number detection for an array of sensors. We propose a CLEAN-based sequential algorithm that uses a sequential hypothesis testing procedure. This method can be employed for any array with an arbitrary geometry. We also manage to reduce the computational complexity of the proposed method. Additionally, we derive an analytical performance bound for the source number detection algorithm. Our simulation results show that the proposed method achieves an appropriate performance even for low SNR or small number of snapshots. It is shown that the proposed method is applicable to both correlated and uncorrelated sources. Unlike popular methods, the algorithm does not require to know the number of sources for the DOA estimation and is able to estimate the number and the DOA of sources jointly.
机译:在本文中,我们重点研究传感器阵列的联合到达方向(DOA)估计和源数量检测问题。我们提出一种使用顺序假设检验程序的基于CLEAN的顺序算法。该方法可以用于具有任意几何形状的任何阵列。我们还设法降低了所提出方法的计算复杂度。此外,我们导出了源编号检测算法的分析性能界限。我们的仿真结果表明,即使在低SNR或少量快照的情况下,所提出的方法也可以获得适当的性能。结果表明,所提出的方法既适用于相关源,也适用于不相关源。与流行的方法不同,该算法不需要知道DOA估计的源数量,并且能够联合估计源的数量和DOA。

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