Non-WSSUS vehicular channel characterization in highway and urban scenarios at 5.2 GHz using the local scattering function
Author
Summary, in English
The fading process in high speed vehicular traffic telematic
applications at 5 GHz is expected to fulfill the wide-sense
stationarity uncorrelated scattering (WSSUS) assumption for
very short time-intervals only. In order to test this assumption
we apply the concept of a local time– and frequency–variant
scattering function, which we estimate from measurements
of vehicle-to-vehicle wave propagation channels by means
of a multi-window spectrogram. The obtained temporal sequence
of local scattering functions (LSF) is used to calculate
a collinearity measure. We define the stationarity time
as the support of the region where the collinearity exceeds a
certain threshold. The stationarity time is the maximum time
duration over which the WSSUS assumption is valid. Measurements
from an highway with vehicles driving in opposite
directions show stationarity times as small as 23 ms whereas
vehicles driving in the same direction show stationarity times
of 1479 ms.
applications at 5 GHz is expected to fulfill the wide-sense
stationarity uncorrelated scattering (WSSUS) assumption for
very short time-intervals only. In order to test this assumption
we apply the concept of a local time– and frequency–variant
scattering function, which we estimate from measurements
of vehicle-to-vehicle wave propagation channels by means
of a multi-window spectrogram. The obtained temporal sequence
of local scattering functions (LSF) is used to calculate
a collinearity measure. We define the stationarity time
as the support of the region where the collinearity exceeds a
certain threshold. The stationarity time is the maximum time
duration over which the WSSUS assumption is valid. Measurements
from an highway with vehicles driving in opposite
directions show stationarity times as small as 23 ms whereas
vehicles driving in the same direction show stationarity times
of 1479 ms.
Publishing year
2008
Language
English
Pages
9-15
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Document type
Conference paper
Topic
- Electrical Engineering, Electronic Engineering, Information Engineering
Conference name
International Workshop on Smart Antennas (WSA)
Conference date
0001-01-02
Status
Published
Research group
- Radio Systems