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The subject is localization and estimation of sources in difficult conditions, namely when the sources are correlated and closely located in space, and samples are short. The proposed algorithm is based on a low-rank tensor approximation under original constraints ensuring its existence. It requires an antenna array formed of identical subarrays shifted in space. Performance bounds are computed in the presence of additive complex noncircular Gaussian noise.
source localization, tensors, diversity, coherence, antenna array processing, low-rank approximation, complex Cramér-Rao bounds, non circularity.
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