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Robust Nonlinear Array Interpolation for Direction of Arrival Estimation of Highly Correlated Signals
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS). University of Brasília (UnB), Department of Electrical Engineering (ENE), Brasília, Brazil.
Department of Teleinformatics Engineering Federal University of Ceará (UFC), Fortaleza, Brazil.
University of Brasília (UnB), Department of Electrical Engineering (ENE), Brasília, Brazil.
German Aerospace Center (DLR), Institute for Communications and Navigation, Wessling, Germany.
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2017 (English)In: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 144, 19-28 p.Article in journal (Refereed) Epub ahead of print
Abstract [en]

Important signal processing techniques need that the response of the different elements of a sensor array has specific characteristics. For physical systems this often is not achievable as the array elements’ responses are affected by mutual coupling or other effects. In such cases, it is necessary to apply array interpolation to allow the application of ESPRIT, Forward Backward Averaging (FBA), and Spatial Smoothing (SPS). Array interpolation provides a model or transformation between the true and a desired array response. If the true response of the array becomes more distorted with respect to the desired one or the considered region of the field of view of the array increases, nonlinear approaches becomes necessary. This work presents two novel methods for sector discretization. An Unscented Transform (UT) based method and a principal component analysis (PCA) based method are discussed. Additionally, two novel nonlinear interpolation methods are developed based on the nonlinear regression schemes Multivariate Adaptive Regression Splines (MARS) and Generalized Regression Neural Networks (GRNNs). These schemes are extended and applied to the array interpolation problem. The performance of the proposed methods is examined using simulated and measured array responses of a physical system used for research on mutual coupling in antenna arrays. © 2017 The Author(s). Published by Elsevier B.V.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2017. Vol. 144, 19-28 p.
Keyword [en]
Array Interpolation, Array Mapping, Antenna Arrays, Direction of Arrival Estimation
National Category
Signal Processing Communication Systems
Identifiers
URN: urn:nbn:se:hh:diva-35082DOI: 10.1016/j.sigpro.2017.09.025OAI: oai:DiVA.org:hh-35082DiVA: diva2:1145427
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Note

Funding: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) under the PVE grant number 88881.030392/2013-01 and by the ELLIIT Strategic Research Network.

Available from: 2017-09-28 Created: 2017-09-28 Last updated: 2017-10-27

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Marinho, MarcoVinel, Alexeyde Freitas, Edison Pignaton
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