Title
Multiresolution Time-of-arrival Estimation from Multiband Radio Channel Measurements
Author
Kazaz, T. (TU Delft Signal Processing Systems) 
Rajan, R.T. (TU Delft Signal Processing Systems)
Janssen, G.J.M. (TU Delft Signal Processing Systems)
van der Veen, A.J. (TU Delft Signal Processing Systems)
Date
2019
Abstract
Achieving high resolution time-of-arrival (TOA) estimation in multipath propagation scenarios from bandlimited observations of communication signals is challenging because the multipath channel impulse response (CIR) is not bandlimited. Modeling the CIR as a sparse sequence of Diracs, TOA estimation becomes a problem of parametric spectral inference from observed bandlimited signals. To increase resolution without arriving at unrealistic sampling rates, we consider multiband sampling approach, and propose a practical multibranch receiver for the acquisition. The resulting data model exhibits multiple shift invariance structures, and we propose a corresponding multiresolution TOA estimation algorithm based on the ESPRIT algorithm. The performance of the algorithm is compared against the derived Cramér Rao Lower Bound, using simulations with standardized ultra-wideband (UWB) channel models. We show that the proposed approach provides high resolution estimates while reducing spectral occupancy and sampling costs compared to traditional UWB approaches.
Subject
cognitive radio
multiband sampling
multipath channel estimation
multiresolution estimation
time-of-arrival
To reference this document use:
http://resolver.tudelft.nl/uuid:d5daab78-03d1-406c-a460-b3d080277bc7
DOI
https://doi.org/10.1109/ICASSP.2019.8683601
Publisher
IEEE, Piscataway
Embargo date
2019-11-12
ISBN
978-1-4799-8132-8
Source
2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings: Proceedings
Event
44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, 2019-05-12 → 2019-05-17, Brighton, United Kingdom
Series
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1520-6149, 2019-May
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2019 T. Kazaz, R.T. Rajan, G.J.M. Janssen, A.J. van der Veen