Analysis of multipath channel delay estimation using subspace fitting

Conference paper (2021)

Authors

T. Kazaz Signal Processing Systems - EEMCS
J.P.A. Romme Holst Centre
G.J.M. Janssen Signal Processing Systems - EEMCS
A.J. van der Veen Signal Processing Systems - EEMCS
Research Group
Signal Processing Systems (EEMCS) (TU Delft)
Copyright: © 2021 T. Kazaz, J.P.A. Romme, G.J.M. Janssen, A.J. van der Veen
DOI
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https://doi.org/10.1109/IEEECONF51394.2020.9443360
Super-resolution Bias Channel estimation Error analysis Superresolution Subspace fitting Time-of-arrival
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Published Date

2021

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Signal Processing Systems

Abstract

The presence of rich scattering in indoor and urban radio propagation scenarios may cause a high arrival density of multipath components (MPCs). Often the MPCs arrive in clusters at the receiver, where MPCs within one cluster have similar angles and delays. The MPCs arriving within a single cluster are typically unresolvable in the delay domain. In this paper, we analyze the effects of unresolved MPCs on the bias of the delay estimation with a multiband subspace fitting algorithm. We treat the unresolved MPCs as a model error that results in perturbed subspace estimation. Starting from the first-order approximation of the perturbations, we derive the bias of the delay estimate of the line-of-sight (LOS) component. We show that it depends on the power and relative delay of the unresolved MPCs in the first cluster compared to the LOS component. Numerical experiments are included to show that the derived expression for the bias well describes the effects of unresolved MPCs on the delay estimation.