2016
DOI: 10.1109/tap.2015.2505004
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A Measurement-Based Model for Outdoor Near-Ground Ultrawideband Channels

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Cited by 31 publications
(27 citation statements)
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“…The mean root mean square delay spread values increase with the increasing distance between the transmitter and the receiver. A similar trend is observed in [31]. The relation between the mean root mean square delay spread and the distance can be fitted with linear mode σ τ UHF,H = 20d+27 for ultra high frequency with horizontal co-polarization, σ τ UHF,V = 15d + 55 for ultra high frequency with vertical co-polarization, σ τ SHF,H = 34d − 33 for super high frequency with horizontal co-polarization, and σ τ SHF,V = 25d + 15 for super high frequency with vertical co-polarization, where d is the distance between the transmitter and the receiver in kilometers.…”
Section: Root Mean Square Delay Spreadsupporting
confidence: 87%
“…The mean root mean square delay spread values increase with the increasing distance between the transmitter and the receiver. A similar trend is observed in [31]. The relation between the mean root mean square delay spread and the distance can be fitted with linear mode σ τ UHF,H = 20d+27 for ultra high frequency with horizontal co-polarization, σ τ UHF,V = 15d + 55 for ultra high frequency with vertical co-polarization, σ τ SHF,H = 34d − 33 for super high frequency with horizontal co-polarization, and σ τ SHF,V = 25d + 15 for super high frequency with vertical co-polarization, where d is the distance between the transmitter and the receiver in kilometers.…”
Section: Root Mean Square Delay Spreadsupporting
confidence: 87%
“…Several channel measurement works such as [15], [16] have described the SSF statistics as either lognormal, Rician, Rayleigh or m-Nakagami distributed (with an analysis of the Nakagami fading in the same environment as this work provided in [3]), however in this work, the SSF statistics was modeled as Rician distribution with the K-factor parameter computed using the method of moments as described by Eqs. (1)- (9) in [17].…”
Section: Small-scale Fading Analysismentioning
confidence: 99%
“…This model gives a statistical distribution for the path gains based on a UWB propagation experiment. Because of the frequency sensitivity of the UWB channel, the pulse shapes with different excess delays are path-dependent [9]. Also, it is assumed that the pulse shapes associated with all the propagation paths are identical.…”
Section: Channel Modelmentioning
confidence: 99%