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Many array-processing algorithms or applications require the estimation of a target signal subspace, e.g., for source localization or for signal enhancement. In wireless sensor networks, the straightforward estimation of a network-wide signal subspace would require a centralization of all the sensor signals to compute network-wide covariance matrices. In this paper, we present a distributed algorithm for network-wide signal subspace estimation in which such data centralization is avoided. Thedoi:10.1109/eusipco.2015.7362611 dblp:conf/eusipco/HassaniBM15 fatcat:qlw52cnotbebfhw6335cm6do3q