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In this paper the problem of joint localization and map estimation is studied. The objective is to determine the location of a set of fixed nodes, e.g. access-points or base-stations in a wireless network using only distance measurements acquired by a node moving in the vicinity of the fixed nodes. It is assumed, that no prior information about locations of any of the nodes (fixed or mobile) is available,...
In this paper we propose azimuth and elevation angle of arrival estimation algorithms for arbitrary array configurations. The proposed algorithms extend the Polynomial Rooting Intersection for Multidimensional Estimation (PRIME) and statistically efficient Modified Variable Projection (MVP) algorithms to arbitrary sensor array configurations without explicit knowledge of the steering vector. The proposed...
This paper contributes to the field of N-way (N ges 3) tensor decompositions, which are increasingly popular in various signal processing applications. A novel PARATREE decomposition structure is introduced, accompanied with sequential unfolding SVD (SUSVD) algorithm. SUSVD applies a matrix SVD sequentially on the unfolded tensor, which is reshaped from the right hand basis vectors of the SVD of the...
We propose new algorithms for adaptive mitigation of coherent 16-QAM constellation distortions. We show that 16-QAM is a potential candidate for the implementation of 100 Gb/s transmission.
In this paper, we consider the manifold separation technique (MST), which stems from the wavefield modeling formalism developed for array processing. MST is a method for modeling the steering vector of antenna arrays of practical interest with arbitrary 2-D or 3-D geometry. It is the product of a sampling matrix (dependent on the antenna array only) and a Vandermonde structured coefficients vector...
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