Estimation of heavy time dispersion for mobile radio channels using a path tracing concept

Buhler, H.; Bonek, E.; Nemsic, B.

doi:10.1109/vetec.1993.507110

Cited by 6 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In most environments, wave propagation from transmitter (Tx) to receiver (Rx) is not restricted to the vertical Tx-Rx plane but includes contributions from scattered fields off this plane [ 1,2]. The resulting multipath propagation leads to a time dispersion of the received signal.…”

Section: Introductionmentioning

confidence: 99%

A 3-D integrated macro and microcellular propagation model, based on the use of photogrammetric terrain and building data

Tameh

Nix

Beach

1997 IEEE 47th Vehicular Technology Conference. Technology in Motion

View full text Add to dashboard Cite

This paper describes a fully three-dimensional deterministic propagation model based on a radar crosssection analysis of terrain pixels and building walls. The model utilises a variable resolution terrain database as well as a buildings database to predict signal strength, time dispersion and fading information[, in addition to providing spatial information (e.g. arrival angles) for the propagation channel. It considers scattering from illuminated terrain pixels and building walls as well as considering off-axis terrain and rooftop diffraction contributions.The model can be particularly useful for integrating macrocells and microcells e.g. predicting interference in a microcell due to a nearby macrocell or vice versa. Signal strength predictions from the model show good agreement with narrowband measurements for a rural macrocell. The effects of buildings and foliage in the prolpagation channel are investigated, and reveal that large errors can result if these effects are ignored. The accuracy improvement of the 3-D analysis over the simpler 2-D approach is also demonstrated. 0-7803-3659-3/97 $1 0.00 0 1 997 IEEE 1957

show abstract

Section: Introductionmentioning

confidence: 99%

A 3-D integrated macro and microcellular propagation model, based on the use of photogrammetric terrain and building data

Tameh

Nix

Beach

1997 IEEE 47th Vehicular Technology Conference. Technology in Motion

View full text Add to dashboard Cite

show abstract

“…These approaches give significantly better location accuracy at the cost of setting up and maintaining an empirical database. The data can come from field measurements conducted during the cellular system planning and/or computer-aided prediction based on digital terrain and land cover information [23], [24]. A field trial conducted in New York City [25] suggests that it takes 500 human hours of work to build up an accurate mapping database covering 50 km of metropolitan area, and the estimated cost is $1000 per cell (of radius 1 km).…”

Section: Introductionmentioning

confidence: 99%

Nonline-of-sight error mitigation in mobile location

Li¹,

Zhuang

2005

IEEE Trans. Wireless Commun.

292

135

View full text Add to dashboard Cite

Abstract-The location of mobile terminals has received considerable attention in the recent years. The performance of mobile location systems is limited by errors primarily caused by nonline-ofsight (NLOS) propagation conditions. We investigate the NLOS error identification and correction techniques for mobile user location in wireless cellular systems. Based on how much a priori knowledge of the NLOS error is available, two NLOS mitigation algorithms are proposed. Simulation results demonstrate that with the prior information database, the location estimate can be obtained with good accuracy even in severe NLOS propagation conditions. Index Terms-Angle of arrival (AOA), mobile location, nonline-of-sight (NLOS) propagation, time difference of arrival (TDOA), wideband code-division multiple-access (CDMA) cellular systems.

show abstract

“…Recently, considerable effort has been invested in developing propagation prediction models for both micro and macrocellular environments ([1], [2], [3], [4], [5]). Whereas the microcellular models tend to only consider small urban areas with buildings and flat terrain, the macrocellular models consider rural areas with variable terrain height but no specific buildings.…”

Section: Introductionmentioning

confidence: 99%

The use of measurement data to analyse the performance of rooftop diffraction and foliage loss algorithms in a 3-D integrated urban/rural propagation model

Tameh

Nix

VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151)

View full text Add to dashboard Cite

This paper describes a 3-D integrated propagation model, which considers propagation effects in both urban and rural environments. It uses a variable resolution Digital Terrain Map (DTM) as well as building and foliage databases. Scattering off terrain pixels and building walls is modelled, as are off-axis terrain and rooftop diffraction contributions. The scattered power is estimated from radar cross-section analysis of the illuminated pixels and walls. The effects of foliage attenuation are also fully considered. The model predicts signal strength and time dispersion and provides fading and arrival angle information for the propagation channel.Narrowband measurements in both urban and rural areas show very good agreement with the predicted results. The accuracy of different foliage-loss and diffraction-loss models has been assessed, with the ITU-R foliage-loss model and the UTD model giving the best results. It is shown that large errors can result if the effects of foliage are ignored in the modelling process. 0-78034320-4/98/$5.00 0 1998 IEEE

show abstract

Estimation of heavy time dispersion for mobile radio channels using a path tracing concept

Cited by 6 publications

References 6 publications

A 3-D integrated macro and microcellular propagation model, based on the use of photogrammetric terrain and building data

A 3-D integrated macro and microcellular propagation model, based on the use of photogrammetric terrain and building data

Nonline-of-sight error mitigation in mobile location

The use of measurement data to analyse the performance of rooftop diffraction and foliage loss algorithms in a 3-D integrated urban/rural propagation model

Contact Info

Product

Resources

About