Large-Scale Parameter Estimation in Channel Sounding with Limited Dynamic Range

Loading...
Thumbnail Image
Access rights
openAccess
Journal Title
Journal ISSN
Volume Title
Conference article in proceedings
Date
2019-03-01
Major/Subject
Mcode
Degree programme
Language
en
Pages
Series
Proceedings of the European Conference on Antennas and Propagation
Abstract
In this paper, we examine large-scale parameter (LSP) estimates for spatio-temporal mobile radio channels in the case when the measurement dynamic range is too poor to derive the LSPs for all the measurement locations. Conventionally the LSPs are derived with, e.g., 20 dB dynamic range from the strongest detected multipath component (MPC), but such a measurement dynamic range cannot be guaranteed in all measurements as some of them suffer from large path loss (PL) and/or variation due to shadow fading (SF). We will show that the LSPs, specifically PL, SF, delay spread (DS), and angular spread (AS), can be considered as incomplete data. Incomplete data can be described either by a maximum or a minimum value (or both) when the measurements are with poor dynamic range. We show that the incomplete data should be taken into account in deriving the LSP statistics using the maximum likelihood estimation (MLE) rather than omitted as outage. Outdoor-to-indoor (O2I) measurements at the 14-14.5 GHz range are used as an example.
Description
Keywords
channel models, incomplete data, maximum likelihood estimation, measurement, modeling, outdoor-to-indoor propagation, radiowave propagation, short-range communications
Other note
Citation
Karttunen , A & Haneda , K 2019 , Large-Scale Parameter Estimation in Channel Sounding with Limited Dynamic Range . in Proceedings of the European Conference on Antennas and Propagation . , 8739875 , Proceedings of the European Conference on Antennas and Propagation , IEEE , European Conference on Antennas and Propagation , Krakow , Poland , 31/03/2019 . < https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8739875 >