Serial subtractive deconvolution algorithms for time-domain ultra wide band in-vehicle channel sounding
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU114110" target="_blank" >RIV/00216305:26220/15:PU114110 - isvavai.cz</a>
Výsledek na webu
<a href="http://digital-library.theiet.org/content/journals/10.1049/iet-its.2014.0287" target="_blank" >http://digital-library.theiet.org/content/journals/10.1049/iet-its.2014.0287</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1049/iet-its.2014.0287" target="_blank" >10.1049/iet-its.2014.0287</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Serial subtractive deconvolution algorithms for time-domain ultra wide band in-vehicle channel sounding
Popis výsledku v původním jazyce
Ultra wide band (UWB) communication is expected to play a key role in next generation broad-band intra vehicle wireless applications. The car compartment differs significantly from other well studied indoor or outdoor environments. Hence, channel sounding experiments are crucial for gaining a thorough knowledge of the UWB signal propagation characteristics in such a medium. Time domain channel sounding campaigns often employ some sort of deconvolution during measurement post processing as the measured signal in these experiments is the convolution of the channel response and the probing pulse which violates the Nyquist criterion. In this paper, a comparison of two variants of time-domain serial subtractive deconvolution algorithm, popularly known as CLEAN, is presented. Appropriate statistical metrics for assessing the relative merit of a deconvolution technique are identified in the context of intra vehicle UWB transmission, and the better algorithm is selected based on its performance over a standard IEEE channel simulation testbed. The chosen method is then applied to extract power delay profile and delay parameters from an empirical time domain sounding experiment performed inside a passenger car. The effects of passenger occupancy, transmitter receiver separation, and absence of direct transmission path are studied.
Název v anglickém jazyce
Serial subtractive deconvolution algorithms for time-domain ultra wide band in-vehicle channel sounding
Popis výsledku anglicky
Ultra wide band (UWB) communication is expected to play a key role in next generation broad-band intra vehicle wireless applications. The car compartment differs significantly from other well studied indoor or outdoor environments. Hence, channel sounding experiments are crucial for gaining a thorough knowledge of the UWB signal propagation characteristics in such a medium. Time domain channel sounding campaigns often employ some sort of deconvolution during measurement post processing as the measured signal in these experiments is the convolution of the channel response and the probing pulse which violates the Nyquist criterion. In this paper, a comparison of two variants of time-domain serial subtractive deconvolution algorithm, popularly known as CLEAN, is presented. Appropriate statistical metrics for assessing the relative merit of a deconvolution technique are identified in the context of intra vehicle UWB transmission, and the better algorithm is selected based on its performance over a standard IEEE channel simulation testbed. The chosen method is then applied to extract power delay profile and delay parameters from an empirical time domain sounding experiment performed inside a passenger car. The effects of passenger occupancy, transmitter receiver separation, and absence of direct transmission path are studied.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
—
Návaznosti
O - Projekt operacniho programu
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IET Intelligent Transport Systems
ISSN
1751-956X
e-ISSN
1751-9578
Svazek periodika
9
Číslo periodika v rámci svazku
9
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
11
Strana od-do
870-880
Kód UT WoS článku
000364201600005
EID výsledku v databázi Scopus
2-s2.0-84945957842