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Robust Nonlinear Array Interpolation for Direction of Arrival Estimation of Highly Correlated Signals

Marinho, Marco A. M. and Antreich, Felix and Caizzone, Stefano and Da Costa, J.P.C.L. and Vinel, Alexey and Pignaton de Freitas, Edison (2018) Robust Nonlinear Array Interpolation for Direction of Arrival Estimation of Highly Correlated Signals. Signal Processing (144), pp. 19-28. Elsevier. doi: 10.1016/j.sigpro.2017.09.025. ISSN 0165-1684.

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Official URL: http://www.sciencedirect.com/science/article/pii/S016516841730347X?via%3Dihub


Important signal processing techniques require that the response of the di�fferent elements of the array have specifi�c characteristics, which are often not achievable for real systems due, for instance, to the fact that the responses of the array elements are a�ffected and distorted by mutual coupling. In such cases, in order to allow the application of ESPRIT, FBA, and SPS, it is necessary to apply array interpolation. Array interpolation provides a model or transformation between the real and a desired array with the necessary characteristics. As the real response becomes more distorted with respect to the desired one and the region of the fi�eld of view to be considered increases a nonlinear approach becomes necessary. In this work, two di�fferent methods for sector discretization are presented. An Unscented Transform (UT) based method and a principal component (PC) based method are discussed in detail. Two nonlinear interpolation methods are also presented, Multivariate Adaptive Regression Splines (MARS) and Generalized Regression Neural Networks (GRNNs). They are extended and applied to the problem of array interpolation. The performance of the proposed methods is examined using simulated and measured array responses of a specially designed physical system for research on mutual coupling in antenna arrays

Item URL in elib:https://elib.dlr.de/112086/
Document Type:Article
Title:Robust Nonlinear Array Interpolation for Direction of Arrival Estimation of Highly Correlated Signals
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Marinho, Marco A. M.university of brasilia/dlrUNSPECIFIEDUNSPECIFIED
Caizzone, StefanoUNSPECIFIEDhttps://orcid.org/0000-0002-9434-7368UNSPECIFIED
Da Costa, J.P.C.L.University of BrasiliaUNSPECIFIEDUNSPECIFIED
Vinel, AlexeyHalmstad UniversityUNSPECIFIEDUNSPECIFIED
Pignaton de Freitas, EdisonFederal University of Rio Grande do SulUNSPECIFIEDUNSPECIFIED
Date:March 2018
Journal or Publication Title:Signal Processing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 19-28
Keywords:Array Interpolation, Array Mapping, Antenna Arrays, Direction of Arrival Estimation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Communication, Navigation and Surveillance (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Navigation
Deposited By: Caizzone, Stefano
Deposited On:21 Jun 2017 10:37
Last Modified:28 Jun 2023 13:18

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