High Resolution Time-Delay Estimation via Direction of Arrival Estimation and Khatri-Rao Factorization for Multipath Mitigation
Konferenz: WSA 2017 - 21th International ITG Workshop on Smart Antennas
15.03.2017 - 17.03.2017 in Berlin, Deutschland
Tagungsband: WSA 2017
Seiten: 8Sprache: EnglischTyp: PDF
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Autoren:
Lima, Daniel Valle de (Department of Electrical Engineering, University of Brasilia, Brasilia, Brazil)
Costa, Joao Paulo da (Department of Electrical Engineering, University of Brasilia, Brasilia, Brazil & Institute for Information Technology, TU Ilmenau, Ilmenau, Germany & Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany)
Antreich, Felix (Department of Teleinformatics Engineering, Federal University of Ceara, Ceara, Brazil)
Kehrle Miranda, Ricardo (Department of Electrical Engineering, University of Brasilia, Brasilia, Brazil & Institute for Information Technology, TU Ilmenau, Ilmenau, Germany)
Del Galdo, Giovanni (Institute for Information Technology, TU Ilmenau, Ilmenau, Germany & Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany)
Inhalt:
Safety-critical applications (SCA), such as civil aviation and autonomous driving, and liability critical applications (LCA), such as precision agriculture, require a robust positioning system in demanding signal environments with coherent multipath while ensuring reasonably low complexity. In this context, antenna array based Global Navigation Satellite Systems (GNSS) receivers with array signal processing schemes allow the spatial separation of line-of-sight (LOS) from multipath components. In this paper, we propose a three step tensor-based approach applying direction of arrival (DoA) estimation and Khatri-Rao factorization (KRF) to separate the code for each impinging component. Our scheme outperforms the Higher-Order Singular Value Decomposition (HOSVD) based eigenfilter, which is the state-of-the-art tensor based scheme for delay estimation.