Worldwide techniques for predicting the multipath fading distribution on terrestrial LOS links: background and results of tests

Olsen, R.L.; Tjelta, Terje

doi:10.1109/8.753006

Cited by 24 publications

(17 citation statements)

References 5 publications

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“…Owing to the central importance of this quantity in radio network planning, a number of fade depth prediction models have been presented. The empirically obtained OlsenSegal fade depth prediction model has been adopted by ITU-R for terrestrial point-to-point LOS links [7]. The impact of bandwidth on fade depth for up to 10 MHz wide codedivision multiple access (CDMA) channels was reported in [8].…”

Section: Introductionmentioning

confidence: 99%

Impact of Bandwidth on Small-Scale Fade Depth

Malik

Allen

Edwards

2007

IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference

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Abstract-This paper investigates the impact of channel bandwidth on fading in wireless channels using indoor measurements. The variation of channel energy over a local region is examined for narrowband, wideband and ultrawideband (UWB) channels, and the corresponding fade depth is evaluated. The relation between bandwidth and fade depth is then captured with a simple dual-slope model. The effect of antenna polarization and line-ofsight blockage is also investigated. We observe that the fade depth initially falls rapidly with bandwidth, reaching 4 dB at 1 GHz, but further reduction in fading with bandwidth is much slower.

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Section: Introductionmentioning

confidence: 99%

Impact of Bandwidth on Small-Scale Fade Depth

Malik

Allen

Edwards

2007

IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference

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“…The water vapour pressure e is given by (5), where H (%) is the relative humidity and t ( • C) is the air temperature [15]: e = 6.1121H 100 exp 17.502t t + 240.97…”

Section: Geoclimatic Factor Determinationmentioning

confidence: 99%

“…Region-based techniques for deep fading predictions have been available for a number of countries for several years. They include the Barnet-Vigants model for United States and the Morita model for Japan, among others [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Statistical Estimation of Fade Depth and Outage Probability Due to Multipath Propagation in Southern Africa

Asiyo¹,

Afullo²

2013

PIER B

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Abstract-This study builds on the earlier work by Odedina and Afullo on Multipath fading in Durban. Their work was based on multipath measurements in Durban over a 6.73 km Line-of-Sight (LOS) link. This submission uses the geoclimatic factor approach and ITU-R recommendations P530-14 to obtain the multipath fading occurrence in five cities in South Africa, including Durban. Three-year radiosonde data is used in estimating the percentage of time that a certain fade depth is exceeded and hence outage probability due to atmospheric multipath propagation, assuming the given fade depth leads to the received signal falling below the squelch level. We employ the Inverse Distance Square technique to estimate point refractivity gradient not exceeded for 1% of the time in the lowest 65 m above the ground for five locations within South Africa. Standard error of the mean and confidence interval for both annual averages and seasonal averages of point refractivity gradient is calculated to reflect possible deviation in the given readings. These values of point refractivity gradient obtained are used in determining the geoclimatic factor K. The results presented show monthly, seasonal and annual variation of both point refractivity gradient and geoclimatic factor K. The results confirm that the geoclimatic factor K is region based. The percentage of time a given fade depth is exceeded for a single frequency increases rapidly with increasing path length. This is due to the fact that as the path length increases so do the multiple reflections leading to multipath propagation, which can result in either signal enhancement or multipath fading. A comparison of fade depth and outage probabilities is made with the earlier work in Durban and Rwanda in Central Africa.

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“…The Olsen-Segal model [3,4], which has been approved by ITU-R [5], is used for fade depth prediction on terrestrial point-to-point LOS links. In fact, this model is an empirical generalization of the well-known Barnett's model [8] and is based on extensive measurement data available world-wide (for over 240 links in 23 countries).…”

Section: Comparison To Olsen-segal Modelmentioning

confidence: 99%

“…Most models for signal fading prediction that are used in microwave wireless link budged analysis are mainly empirical in nature and rely on extensive measured data [1,[3][4][5][6]. Consequently, these models include the aggregate effects of the different fading mechanisms and do not allow for any insight into the relative importance of these mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Fading prediction on microwave links for airborne communications

Loyka

Kouki

Gagnon

IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211)

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Abstract-Fade depth prediction on airborne line-of-sight communication links is considered in this paper. There is no specific model for this scenario at the moment. The two ray multipath model adapted to a realistic scenario of hilly or mountainous terrain was used to account for flight and terrain geometry, and antenna parameters. Surprisingly, it was found that (i) in many practically important cases the fade depth depends on the path clearance angle only and (ii) the two-ray model predicts roughly the same fade depth dependence on the path clearance angle as the well-known Olsen-Segal model. This may be considered as a theoretical justification, as to the best of our knowledge -for the first time, of the path elevation angle factor in that model.

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Worldwide techniques for predicting the multipath fading distribution on terrestrial LOS links: background and results of tests

Cited by 24 publications

References 5 publications

Impact of Bandwidth on Small-Scale Fade Depth

Impact of Bandwidth on Small-Scale Fade Depth

Statistical Estimation of Fade Depth and Outage Probability Due to Multipath Propagation in Southern Africa

Fading prediction on microwave links for airborne communications

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