A subarray manifold revealing projection for partially blind identification and beamforming

We consider the problem of locating and extracting sources received by an array of sensors in two significant cases. In one case, sensor positions are partially unknown. In the other one, the propagation to a subset of sensors is unknown. The core of the algorithm is partially blind identification of steering vectors. It relies on a tracking procedure with low computational complexity. We apply it to the calibration of maneuvering and towed arrays receiving multiple and correlated sources.