We derive a statistical model of the UWB indoor channel based on the experimental data collected in a modem office building. Measurements were made in different rooms throughout the floor and within each room the receiver antenna was moved over a square grid of 25 x 25 locations spaced 2 cm apart. The measnrement technique was based on the use of a carrier at 4.78 GHz modulated by a train of short duration (0.4 ns) pulses shaped by a PN-sequence. Thus the probe signal coven the band 3.6 - 6 GHz. We coherently demodulate the received signals and cross-correlate their In-phase and Q-phase components to an opportune PN-sequence template to extraet the channel impulse responses from the recorded profiles. Then we post-process these '"covered" impulse responses by best-fit procedures to set up a statistical tapped delay line model of the UWB indoor channel. We model the path loss for LOS and NLOS conditions by diMance power laws and the shadowing by Lognormal distributions. The average power-delay profiles exhibit a clustered ~t~UChlmw,h ich means that rays arrive at the receiver in groups, each having a given decay constant. We characterize the small-scale statistics by selecting the distribution that verifies with a 95%-co&dence interval both the Chi-square test and the Kolmogorov-Smimov test applied to the experimental data. The Gamma distribution verifies the above-mentioned tests in most cases. The shape parameters of such Gamma distributions spread in the range of 1 i 3, and remain roughly constant around 2 with the excess delay.
A time domain propagation model of the UWB indoor channel in the FCC-compliant band 3.6-6 GHz based on PN-sequence channel measurements
CASSIOLI, DAJANA;
2004-01-01
Abstract
We derive a statistical model of the UWB indoor channel based on the experimental data collected in a modem office building. Measurements were made in different rooms throughout the floor and within each room the receiver antenna was moved over a square grid of 25 x 25 locations spaced 2 cm apart. The measnrement technique was based on the use of a carrier at 4.78 GHz modulated by a train of short duration (0.4 ns) pulses shaped by a PN-sequence. Thus the probe signal coven the band 3.6 - 6 GHz. We coherently demodulate the received signals and cross-correlate their In-phase and Q-phase components to an opportune PN-sequence template to extraet the channel impulse responses from the recorded profiles. Then we post-process these '"covered" impulse responses by best-fit procedures to set up a statistical tapped delay line model of the UWB indoor channel. We model the path loss for LOS and NLOS conditions by diMance power laws and the shadowing by Lognormal distributions. The average power-delay profiles exhibit a clustered ~t~UChlmw,h ich means that rays arrive at the receiver in groups, each having a given decay constant. We characterize the small-scale statistics by selecting the distribution that verifies with a 95%-co&dence interval both the Chi-square test and the Kolmogorov-Smimov test applied to the experimental data. The Gamma distribution verifies the above-mentioned tests in most cases. The shape parameters of such Gamma distributions spread in the range of 1 i 3, and remain roughly constant around 2 with the excess delay.Pubblicazioni consigliate
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