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Satellite Navigation Multipath Channel Models

Download Satellite-to-Indoor Channel Simulator (Matlab M-Files)

In indoor environments the accuracy of positioning by global navigation satellite systems suffers significantly from signal blockage, reflection and diffraction. To develop advanced receiver position algorithms working in harsh propagation environments, accurate channel simulators are necessary. Therefore, DLR investigated the satellite-to-indoor propagation channel in its very detail by a measurement campaign in 2008. As an outcome, we proposed a novel and accurate wideband satellite-to-indoor channel model. Compared to the state of the art, the proposed channel model is able to reproduce the spatial characteristics of the wideband propagation channel for a moving receiver. The model is based on a hybrid approach combining physical-deterministic and stochastic methods: (a) waves diffracted and transmitted by walls, windows and doors are considered by using physical-deterministic near field methods, (b) in order to model multipath components occurring due to reflections on walls, a hybrid approach is used, (c) the behavior of scattered waves is stochastically modeled. The proposed channel model accurately models satellite-to-indoor propagation effects, and, thus, can be used for testing and validating range estimation algorithms for positioning.

Further information in readme.txt

Terms of a Licence: GNU GENERAL PUBLIC LICENSE Version 2
Copyright © 2005
Deutsches Zentrum für Luft- und Raumfahrt e.V.
German Aerospace Centre

Publications see below

Land Mobile Multipath Channel Model V3.0

Standardized in ITU-R P.681-7 (10/09) "Propagation data required for the design of Earth-space land mobile telecommunication systems"

In autumn 2002 the German Aerospace Center (DLR) carried out a high resolution measurement campaign to investigate the land mobile satellite navigation multipath channel. High bandwidth navigation systems like GALILEO are strongly disturbed by reflections from structures close to the receiver. To model these effects a very high time resolution is required. Especially for the BOC (Binary Offset Carrier) signal structures the delays of echoes have to be known in ns accuracy. Approaches of the past to describe the multipath effects have resolutions of 50 ns, which is not satisfying for high precision positioning. For the measurements a Zeppelin simulated the satellite transmitting a signal down to a measurement van equipped with the receiver and various sensors. During the campaign more than 60 measurements, each lasting for about 15 minutes, were taken in several urban, suburban and rural scenarios for car and pedestrian applications.

One critical scenario for navigation applications is the urban environment with the often shadowed or blocked direct path signal and many reflecting objects. Measurements took place in the centre of Munich, Germany. From this data a novel model was derived taking deterministic effects and statistical distrubtions from the measurement into account. Using the same model structure, suburban environments can be simulated by using appropriate scenery parameters and the statistics gained from the measurements in Fürstenfeldbruck, a small town near Munich.

If you want to obtain access, please do not hesitate to send a request via our contact form - select category "Download Land Mobile Multipath Channel Model V3.0 Datasets"

Publications see below

To cite this channel model you can use:

@misc{ https ://doi.org/10.26090/hdnk ,
doi = {10.26090/HDNK} ,
url = { https ://www.KN−S . dlr .de /COS−LMS} ,
author = { { Steingass Alexander } and { Lehner Andreas }} ,
title = { Software model for satellite to land mobile multipath propagation .} ,
publisher = {German Aerospace Center (DLR )} ,
year = {2019}
}

Modelling Distance Measurement Equipment (DME) signals interfering an airborne GNSS receiver

This Software simulates an end-to-end model to generate Distance Measurement Equipment (DME) signals as an interference source to airborne Global Satellite Navigation Systems (GNSS).

Both satellite navigation systems, the Global Positioning System (GPS) and GALILEO, use the lower L-band 1 for wideband navigation services and are sharing the same frequency band with DME. Any GNSS Receiver operating in the mentioned bands will receive DME signals and will have to deal with them as interference. This publication describes a model to rebuild the measured DME signals at the receiver input to allow simulations of the interference effect. Prior to this work we only found models based on propagation estimation. Nomodel existed which is based on real world measurements of DME signals. Thus, the German Aerospace Center (DLR) has carried out a Flight measurement campaign at the European DME hotspot near Frankfurt (Main), Germany. From the data of the measurement campaign we have developed the new model. This measurement based model is much more accurate than the existing models since it accounts for the propagation and the DME transmission and the GNSS receiver antenna effects. We provide this model to the community to allow a more realistic forecast of the DME-GNSS interference situation.

DME Signal Model is available here soon.

Publications see below

If you want to cite this software


@misc{https://doi.org/10.26090/htvs,
  doi = {10.26090/HTVS},
  url = {https://www.KN-S.dlr.de/DOI-htvs},
  author = {{Steingass Alexander}},
  title = {Software modelling Distance Measurement Equipment (DME) signals interfering an airborne GNSS receiver},
  publisher = {German Aerospace Center (DLR)},
  year = {2019}
}

Publications Satellite-to-Indoor Channel Model V4.0

The following publications describe the modeling approach for the satellite-to-indoor propagation channel:

T. Jost,
Satellite-to-Indoor Wave Propagation for Positioning Applications
ser. Kommunikationstechnik. Verlag Dr. Hut, 2014, PhD dissertation University of Vigo

T. Jost, W. Wang, U.-C. Fiebig, and F. Pérez-Fontán
A Wideband Satellite-to-Indoor Channel Model for Navigation Applications
IEEE Trans. Antennas Propag., vol. 62, no. 10, pp. 5307-5320, Oct. 2014 [ELIB]

T. Jost, G. Carrié, F. Pérez-Fontán, W. Wang, and U.-C. Fiebig
A Deterministic Satellite-to-Indoor Entry Loss Model [ELIB]
IEEE Trans. Antennas Propag., vol. 61, no. 4, pp. 2223-2230, Apr. 2013

The further publications describe the measurement campaign and the data analysis:

T. Jost, W. Wang, U.-C. Fiebig, and F. Pérez-Fontán
Detection and Tracking of Mobile Propagation Channel Paths
IEEE Trans. Antennas Propag., vol. 60, no. 10, pp. 4875-4883, Oct. 2012 [ELIB]

W. Wang and T. Jost
A Low-Cost Platform for Time-Variant Wireless Channel Measurements With Application to Positioning
IEEE Trans. Instrum. Meas., vol. 61, no. 6, pp. 1597-1604, June 2012 [ELIB]

T. Jost, W. Wang, U.-C. Fiebig, and F. Pérez-Fontán
Movement of Equivalent Scatterers in Geometry-Based Stochastic Channel Models
IEEE Antennas Wireless Propag. Lett., vol. 11, pp. 555-558, May 2012 [ELIB]

T. Jost, W. Wang, U.-C. Fiebig, and F. Pérez-Fontán
Comparison of L- and C-Band Satellite-to-Indoor Broadband Wave Propagation for Navigation Applications
IEEE Trans. Antennas Propag., vol. 59, no. 10, pp. 3899-3909, Oct. 2011 [ELIB]

Publications Land Mobile Multipath Channel Model V3.0

The following publications describe the measurement campaign, the data analysis and the modeling of the land mobile channel:

Steingaß, A., Lehner, A.
Measuring GALILEO´s Multipath Channel
European Navigation Conference ENC-GNSS 2003, Graz, Austria, April 22-25, 2003.

Steingaß, A., Lehner, A.
Measurement of the Navigation Multipath Channel - A Statistical Analysis
Institute of Navigation Conference ION GNSS 2004, Long Beach, USA, September 21-24, 2004.

Lehner, A., Steingaß, A.
A Novel channel model for land mobile satellite navigation
Institute of Navigation Conference ION GNSS 2005, Long Beach, USA, September 13-16, 2005.

Lehner, A., Steingaß, A., Schubert, F.
A Location and Movement Dependent GNSS Multipath Error Model for Pedestrian Applications
ATTI Journal dell'Istituto Italiano di Navigazione (189), pp. 108-119, ISSN 1120-6977, Italien Institute of Navigation I.I.N., Rome, Italy, 2009.