2007
DOI: 10.1109/twc.2007.051050
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A Measurement-Based Statistical Model for Industrial Ultra-Wideband Channels

Abstract: Abstract-The results of three ultra-wideband (UWB) measurement campaigns conducted in two different industrial environments are presented. A frequency range of 3.1 − 10.6 or 3.1 − 5.5 GHz was measured using a vector network analyzer and a virtual array technique enabling the investigation of smallscale statistics. The results show that the energy arrives in clusters, and that the abundance of metallic scatterers present in the factory hall causes dense multipath scattering. The latter produces a small-scale fa… Show more

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Cited by 186 publications
(124 citation statements)
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References 27 publications
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“…A chi-squared goodness-of-fit test retained the null hypothesis that the cluster interarrival times are exponentially distributed at a 5% significance level. For measurements in industrial environments in [1], mean cluster interarrival times between 13 and 16 ns are found, which are comparable to our obtained value of 18.40 ns. In literature, when comparing industrial environments to office environments, clusters usually arrive further in between in the latter: mean cluster interarrival times of 60 ns for measurements in a university building in [4] and 27 to 40 ns for an office building in [5] were found.…”
Section: Modelling 1) Saleh-valenzuela Modelsupporting
confidence: 91%
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“…A chi-squared goodness-of-fit test retained the null hypothesis that the cluster interarrival times are exponentially distributed at a 5% significance level. For measurements in industrial environments in [1], mean cluster interarrival times between 13 and 16 ns are found, which are comparable to our obtained value of 18.40 ns. In literature, when comparing industrial environments to office environments, clusters usually arrive further in between in the latter: mean cluster interarrival times of 60 ns for measurements in a university building in [4] and 27 to 40 ns for an office building in [5] were found.…”
Section: Modelling 1) Saleh-valenzuela Modelsupporting
confidence: 91%
“…Because the inventory in industrial environments (machinery, transport belts, steel piping) is more irregularly shaped, more clusters in rapid succession are expected to be found in these environments. Also, in contrast to office environments, the inventory in industrial environments largely consists of highly reflective metal surfaces [1], [3]. In industrial halls, more objects are therefore expected to actively participate in the wave propagation while giving rise to noticeable received powers at the receiver's end.…”
Section: Modelling 1) Saleh-valenzuela Modelmentioning
confidence: 99%
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“…Therefore, a coherent addition of arriving waves increases the received power and leads to very low pathloss factors. Similar behavior was observed in industrial environments reported in [22] where the path-loss factor was found to be equal to 1.1. In the passenger cabin campaign of [15] path-loss factor n varied between 1.7 and 2.6.…”
Section: Estimation Of Path-loss Factorssupporting
confidence: 86%
“…(eq. (9) in [17]). Its parameters are the total power of the diffuse multipath Ω 1 = 2.32 × 10 −7 , γ 1 = 20 ns, γ rise = 5 ns and χ = 0.98.…”
Section: B Target Tracking Time-reversal and Pacmentioning
confidence: 97%