This paper introduces the maximal eigengap estimator for finding the direction of arrival of a wideband acoustic signal using a single vector-sensor. We show that in this setting narrowband cross-spectral density matrices can be combined in an optimal weighting that approximately maximizes signal-to-noise ratio across a wide frequency band. The signal subspace resulting from this optimal combination of narrowband power matrices defines the maximal eigengap estimator. We discuss the advantages of the maximal eigengap estimator over competing methods, and demonstrate its utility in a real-data application using signals collected in 2019 from an acoustic vector-sensor deployed in the Monterey Bay.

翻译：本文介绍使用单一矢量传感器找到宽带声信号到达方向的最大偏移量估计值。 我们显示,在此设置的窄带跨光谱密度矩阵可以结合到一个最佳加权中,使宽频带的信号-噪音比大致最大化。 由这种窄带功率矩阵最佳组合产生的信号子空间定义了最大偏移量估计值。 我们讨论了最大偏移估计值相对于相竞方法的优势,并利用2019年在蒙特里湾部署的声波矢量传感器收集的信号,展示其在实际数据应用中的实用性。