Skip to main content
Springer Nature Link
Log in

A Novel Environment Characterization Metric for Clustered MIMO Channels

Used to Validate a SAGE Parameter Estimator

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In this work we introduce a novel metric for characterizing the double-directional propagation environment and use this metric to assess the performance of a SAGE parameter estimator for MIMO channels. Using the IlmProp, a geometry-based MIMO channel modeling tool, we construct synthetic channels for three different scenarios showing: (i) well separated clusters containing dense propagation paths, and single-bounce scattering; (ii) partly overlapping clusters containing widely spread propagation paths, and single-bounce scattering; (iii) unclustered multipath components (“rich scattering”), and double-bounce-only scattering. We model the scatterers and the receiver in the environment as fixed, but the transmitter as moving. The Initialization and Search-Improved SAGE (ISIS) estimation tool is used to extract the propagation paths from the constructed channels. Both true and estimated paths are fed to the new system-independent metric which genuinely reflects the structure of the channel and the compactness of the propagation paths. We use this metric to decide on the accuracy of the channel estimator. The results show a convincing agreement between true and estimated paths.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • 25.996, G. T. 3rd Generation Partnership Project; Technical specification group radio access network; Spatial channel model for MIMO simulations (release 6). V6.1.0.

  • Correia, L. (Ed.). (2006). Mobile broadband multimedia networks. Academic Press.

  • Czink, N., Bonek, E., Hentilä, L., Nuutinen, J.-P., & Ylitalo, J. (2006). Cluster-based MIMO channel model parameters extracted from indoor time-variant measurements. In IEEE GlobeCom 2006. San Francisco, USA.

  • Del Galdo, G., Haardt, M., & Schneider, C. (2003). Geometry-based channel modelling of MIMO channels in comparison with channel sounder measurements. Advances in Radio Science—Kleinheubacher Berichte (pp. 117–126). More information on the model, as well as the source code and some exemplary scenarios can be found at http://tu-ilmenau.de/ilmprop

  • El-Sallabi, H., Baum, D., Zetterberg, P., Kyösti, P., Rautiainen, T., & Schneider, C. (2006). Wideband spatial channel model for MIMO systems at 5 GHz in indoor and outdoor environments. In Proceedings IEEE VTC’06 Spring. Melbourne, Australia.

  • Fleury B.H. (2000). First- and second-order characterization of direction dispersion and space selectivity in the radio channel. IEEE Transactions on Information Theory 46(6): 2027–2044

    Article  MATH  Google Scholar 

  • Fleury B.H., Tschudin M., Heddergott R., Dahlhaus D., Pedersen K.I. (1999). Channel parameter estimation in mobile radio environments using the SAGE algorithm. IEEE Journal on Selected Areas in Communications 3: 434–450

    Article  Google Scholar 

  • Fleury, B. H., Yin, X., Jourdan, P., & Stucki, A. (2003). High-resolution channel parameter estimation for communication systems equipped with antenna arrays. In Proceedings of 13th IFAC Symposium on System Identification (SYSID 2003). Rotterdam, The Netherlands (ISC-379).

  • Fleury, B. H., Yin, X., Rohbrandt, K. G., Jourdan, P., & Stucki, A. (2002). Performance of a high-resolution scheme for joint estimation of delay and bidirection dispersion in the radio channel. In Proceedings of IEEE Vehicular Technology Conference. (Vol. 1) VTC 2002 Spring, pp. 522–526.

  • Landmann, M., & Del Galdo, G. (2004). Efficient antenna description for MIMO channel modelling and estimation. In European microwave week. Amsterdam, The Netherlands.

  • Mustonen, M., Suvikunnas, P., & Vainikainen, P. (2005). Reliability analysis of multidimensional propagation channel characterization. In WPMC. Aalborg, Denmark.

  • Pal, A., Beach, M., & Nix, A. (2005). A quantification of 3-D directional spread from small-scale fading analysis. In COST 273 Post-Project Meeting. Lisbon, Portugal.

  • Pal A., Beach M., Nix A. (2006). A quantification of 3-D directional spread from small-scale fading analysis. In IEEE International Conference on Communications. Istanbul, Turkey

    Google Scholar 

  • Steinbauer M., Molisch A., Bonek E. (2001). The double-directional radio channel. IEEE Antennas and Propagation Magazine 43(4): 51–63

    Article  Google Scholar 

  • Steinbauer M., Özcelik H., Hofstetter H., Mecklenbräuker C., Bonek E. (2002). How to quantify multipath separation. IEICE Transactions on Electronics E85(3): 552–557

    Google Scholar 

  • Thomä, R. S., Hampicke, D., Landmann, M., Richter, A., & Sommerkorn, G. (2003). Measurement-based channel modelling (MBPCM). In ICEAA, Torino.

  • Yin, X., Fleury, B. H., Jourdan, P., & Stucki, A. (2003). Polarization estimation of individual propagation paths using the SAGE algorithm. In Proceedings of the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). Beijing, China.

Download references

Author information

Authors and Affiliations

  1. Telecommunications Research Center Vienna (ftw.), Vienna, Austria

    Nicolai Czink

  2. Communications Research Laboratory, Ilmenau University of Technology, Ilmenau, Germany

    Giovanni Del Galdo

  3. Department of Electronics Systems, Aalborg University, Aalborg, Denmark

    Xuefeng Yin

  4. Institute of Communications and Radio-Frequency Engineering, Vienna University of Technology, Vienna, Austria

    Nicolai Czink & Ernst Bonek

  5. Elektrobit, Oulu, Finland

    Juha Ylitalo

Authors
  1. Nicolai Czink
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Giovanni Del Galdo
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Xuefeng Yin
    View author publications

    You can also search for this author inPubMed Google Scholar

  4. Ernst Bonek
    View author publications

    You can also search for this author inPubMed Google Scholar

  5. Juha Ylitalo
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Nicolai Czink.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Czink, N., Del Galdo, G., Yin, X. et al. A Novel Environment Characterization Metric for Clustered MIMO Channels. Wireless Pers Commun 46, 83–98 (2008). https://doi.org/10.1007/s11277-007-9357-1

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-007-9357-1

Keywords