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Sparse adaptive multipath tracking for low bandwidth ranging applications

Schneckenburger, Nicolas and Shutin, Dmitriy (2014) Sparse adaptive multipath tracking for low bandwidth ranging applications. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 4.-9.5.2014, Florenz, Italien.

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Abstract

In this paper a novel algorithm for estimation and tracking of multipath components for range estimation using signals with low bandwidth is discussed. In multipath rich environments ranging becomes a challenging problem when used with low bandwidth signals: unless multipath interference is resolved, large ranging errors are typical. In this work the estimation and tracking of individual multipath components is studied. The new technique combines sparse Bayesian learning and variational Bayesian parameter estimation with Kalman filtering. While the former is used to detect and estimate the individual components, the Kalman filtering is used to track the estimated signals. Two assumptions are compared: independence of multipath components, typical for classical multipath estimation schemes, versus correlation between the propagation paths. The later has been found to improve component tracking and estimation at the cost of increased computational complexity. The performance of the algorithm is investigated using synthetic, as well as real measurement data collected during flight trials. Significantly improved ranging performance can be obtained as compared to the standard correlation-based ranging.

Item URL in elib:https://elib.dlr.de/88493/
Document Type:Conference or Workshop Item (Poster)
Title:Sparse adaptive multipath tracking for low bandwidth ranging applications
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Schneckenburger, Nicolasnicolas.schneckenburger (at) dlr.deUNSPECIFIED
Shutin, DmitriyDmitriy.Shutin (at) dlr.deUNSPECIFIED
Date:May 2014
Journal or Publication Title:IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
Status:Published
Keywords:OFDM, Sparse bayesian learning
Event Title:2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Event Location:Florenz, Italien
Event Type:international Conference
Event Dates:4.-9.5.2014
Organizer:IEEE
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 > Communications Systems
Deposited By: Schneckenburger, Nicolas
Deposited On:16 Jul 2014 10:14
Last Modified:31 Jul 2019 19:45

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