Skip to main content
SpringerLink
Log in

A New Statistical Channel Model for Hybrid-Diversity MIMO Systems

  • Published:
Circuits, Systems, and Signal Processing Aims and scope Submit manuscript

Abstract

Based on analysis of spatial-diversity and polarization-diversity MIMO systems, a new modeling method, which utilizes the covariance matrix and the power matrix to build a general-purpose statistical MIMO channel model, is proposed. The new model is able to represent the characteristic of hybrid diversity, which integrates both spatial diversity and polarization diversity, and can be applied to MIMO systems with various diversity types. A comparison between the simulation results and measurements shows the validity of the proposed model as well as its advantage over an existing model.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. A. Abdi, M. Kaveh, A space-time correlation model for multielement antenna systems in mobile fading channels. IEEE J. Sel. Areas Commun. 20, 550–560 (2002)

    Article  Google Scholar 

  2. V.R. Anreddy, M.A. Ingram, Capacity of measured Ricean and Rayleigh indoor MIMO channels at 2.4 GHz with polarization and spatial diversity, in Proceedings of IEEE Wireless Communications and Networking Conference, vol. 2 (2006), pp. 946–951

    Google Scholar 

  3. A. Belhouji, C. Decroze, D. Carsenat, M. Mouhamadou, T. Monediere, Active measurements of a MIMO WiMAX-OFDM based system in reverberation chambers. Microw. Opt. Technol. Lett. 52(10), 2347–2352 (2010)

    Article  Google Scholar 

  4. M.E. Bialkowski, P. Uthansakul, K. Bialkowski, S. Durrani, Investigating the performance of MIMO systems from an electromagnetic perspective. Microw. Opt. Technol. Lett. 48(7), 1233–1238 (2006)

    Article  Google Scholar 

  5. H. Carrasco, R. Feick, H.D. Hristov, Experimental evaluation of indoor MIMO channel capacity for compact arrays of planar inverted-F antennas. Microw. Opt. Technol. Lett. 49(7), 1754–1756 (2007)

    Article  Google Scholar 

  6. M. Coldrey, Modeling and capacity of polarized MIMO channel, in Proc. IEEE Veh. Tech. Conf. Spring (2008), pp. 440–444

    Chapter  Google Scholar 

  7. K.-L. Du, M.N.S. Swamy, Wireless Communication Systems: From RF Subsystems to 4G Enabling Technologies (Cambridge University Press, Cambridge, 2010)

    Book  Google Scholar 

  8. V. Erceg, H. Sampath, S. Catreux-Erceg, Dual-polarization versus single-polarization MIMO channel measurement results and modeling. IEEE Trans. Wirel. Commun. 5, 28–33 (2006)

    Article  Google Scholar 

  9. A. Lozano, A.M. Tulino, S. Verdu, Multiple-antenna capacity in the low-power regime. IEEE Trans. Inf. Theory 49(10), 2527–2544 (2003)

    Article  MathSciNet  Google Scholar 

  10. H.T. Nguyen, J.B. Andersen, G.F. Pedersen, A stochastic model of spatio-temporally correlated narrowband MIMO channel based on indoor measurement, in Proc. 15th IEEE International Symposium on Personal, Indoor and Mobile Communications, Barcelona, Spain, vol. 3 (2004), pp. 1827–1831

    Google Scholar 

  11. C. Oestges, B. Clerckx, MIMO Wireless Communications: From Real-World Propagation to Space-Time Code Design (Academic Press, Oxford, 2007)

    Google Scholar 

  12. C. Oestges, D. Vanhoenacker-Janvier, A.J. Paulra, V. Erceg, Dual-polarized MIMO macrocellular wireless transmissions: modeling, validation and analysis, in Proc. 58th IEEE Semi-annual Vehicular Technology Conference Fall, vol. 1 (2003), pp. 378–382

    Google Scholar 

  13. M. Payaró, A. Pascual-Iserte, M. Lagunas, Mutual information optimization and capacity evaluation in MIMO systems with magnitude knowledge and phase uncertainty. Circuits Syst. Signal Process. 26(4), 527–549 (2007)

    Article  MATH  Google Scholar 

  14. T. Svantesson, A physical MIMO radio channel model for multi-element multi-polarized antenna systems, in Proc. IEEE VTC’02, vol. 2 (2001), pp. 1083–1087

    Google Scholar 

  15. X. Wang, Z.-W. Du, K. Gong, A compact dual-element antenna array for adaptive MIMO system. Microw. Opt. Technol. Lett. 51(2), 348–351 (2009)

    Article  Google Scholar 

Download references

Acknowledgement

This work was supported by the National Basic Research Program of China under Grant 2007CB310603.

Author information

Authors and Affiliations

  1. College of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, 210003, China

    Lin Hai & Ye-Rong Zhang

Authors
  1. Lin Hai
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ye-Rong Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lin Hai.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hai, L., Zhang, YR. A New Statistical Channel Model for Hybrid-Diversity MIMO Systems. Circuits Syst Signal Process 31, 2093–2102 (2012). https://doi.org/10.1007/s00034-012-9418-x

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00034-012-9418-x

Keywords

Search

Navigation