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Multiresolution time-of-arrival estimation from multiband radio channel measurements

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Citation Author(s):
Tarik Kazaz, Raj Thilak Rajan, Gerard J. M. Janssen and Alle-Jan van der Veen
Submitted by:
Tarik Kazaz
Last updated:
15 May 2019 - 7:07pm
Document Type:
Poster
Document Year:
2019
Event:
Presenters Name:
Tarik Kazaz
Paper Code:
3813

Abstract 

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 Cramer 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.

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