Frequency-Domain In-Vehicle UWB Channel Modeling

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU119256" target="_blank" >RIV/00216305:26220/16:PU119256 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/TVT.2016.2550626" target="_blank" >http://dx.doi.org/10.1109/TVT.2016.2550626</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TVT.2016.2550626" target="_blank" >10.1109/TVT.2016.2550626</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Frequency-Domain In-Vehicle UWB Channel Modeling

Popis výsledku v původním jazyce

The aim of this article is to present a simple but robust model characterizing the frequency dependent transfer function of an in-vehicle ultra-wide-band channel. A large number of transfer functions spanning the ultra-wide-band (3 GHz to 11 GHz) are recorded inside the passenger compartment of a four seated sedan car. It is found that the complex transfer function can be decomposed into two terms, the first one being a real valued long term trend that characterizes frequency dependency with a power law, and the second term forms a complex correlative discrete series which may be represented via an autoregressive model. An exhaustive simulation framework is laid out based on empirical equations characterizing trend parameters and autoregressive process coefficients. The simulation of the transfer function is straightforward as it involves only a handful of variables, yet it is in good agreement with the actual measured data. The proposed model is further validated by comparing different channel parameters, such as coherence bandwidth, power delay profile, and root mean square delay spread, obtained from the raw and the synthetic data sets. It is also shown how the model can be compared with existing timedomain Saleh-Valenzuela influenced models and the related IEEE standards.

Název v anglickém jazyce

Frequency-Domain In-Vehicle UWB Channel Modeling

Popis výsledku anglicky

The aim of this article is to present a simple but robust model characterizing the frequency dependent transfer function of an in-vehicle ultra-wide-band channel. A large number of transfer functions spanning the ultra-wide-band (3 GHz to 11 GHz) are recorded inside the passenger compartment of a four seated sedan car. It is found that the complex transfer function can be decomposed into two terms, the first one being a real valued long term trend that characterizes frequency dependency with a power law, and the second term forms a complex correlative discrete series which may be represented via an autoregressive model. An exhaustive simulation framework is laid out based on empirical equations characterizing trend parameters and autoregressive process coefficients. The simulation of the transfer function is straightforward as it involves only a handful of variables, yet it is in good agreement with the actual measured data. The proposed model is further validated by comparing different channel parameters, such as coherence bandwidth, power delay profile, and root mean square delay spread, obtained from the raw and the synthetic data sets. It is also shown how the model can be compared with existing timedomain Saleh-Valenzuela influenced models and the related IEEE standards.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

ISSN

0018-9545

e-ISSN

1939-9359

Svazek periodika

65

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

3929-3940

Kód UT WoS článku

000380068500008

EID výsledku v databázi Scopus

2-s2.0-84976497401