High resolution time-delay estimation via direction of arrival estimation and Khatri-Rao factorization for multipath mitigation

de Lima DV, da Costa JPC, Antreich F, Miranda RK, Galdo GD (2017)


Publication Type: Conference contribution

Publication year: 2017

Publisher: VDE Verlag GmbH

Pages Range: 388-395

Conference Proceedings Title: 21st International ITG Workshop on Smart Antennas, WSA 2017

Event location: Berlin, DEU

ISBN: 9783800743940

Abstract

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.

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How to cite

APA:

de Lima, D.V., da Costa, J.P.C., Antreich, F., Miranda, R.K., & Galdo, G.D. (2017). High resolution time-delay estimation via direction of arrival estimation and Khatri-Rao factorization for multipath mitigation. In 21st International ITG Workshop on Smart Antennas, WSA 2017 (pp. 388-395). Berlin, DEU: VDE Verlag GmbH.

MLA:

de Lima, Daniel Valle, et al. "High resolution time-delay estimation via direction of arrival estimation and Khatri-Rao factorization for multipath mitigation." Proceedings of the 21st International ITG Workshop on Smart Antennas, WSA 2017, Berlin, DEU VDE Verlag GmbH, 2017. 388-395.

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