Advances in Radio Science www.adv-radio-sci.net 1684-9965 1684-9973 4 Kleinheubacher Berichte 2005 2006 10.5194/ars-4-33-2006 http://www.adv-radio-sci.net/4/33/2006/ http://www.adv-radio-sci.net/4/33/2006/ars-4-33-2006.html http://www.adv-radio-sci.net/4/33/2006/ars-4-33-2006.pdf 33 39 2006-09-04 Computation of antenna pattern correlation and MIMO performance by means of surface current distribution and\ spherical wave theory O. Klemp klemp@hft.uni-hannover.de G. Armbrecht H. Eul Universität Hannover, Institut für Hochfrequenztechnik und Funksysteme, Hannover, Germany In order to satisfy the stringent demand for an accurate prediction of MIMO channel capacity and diversity performance in wireless communications, more effective and suitable models that account for real antenna radiation behavior have to be taken into account. One of the main challenges is the accurate modeling of antenna correlation that is directly related to the amount of channel capacity or diversity gain which might be achieved in multi element antenna configurations. Therefore spherical wave theory in electromagnetics is a well known technique to express antenna far fields by means of a compact field expansion with a reduced number of unknowns that was recently applied to derive an analytical approach in the computation of antenna pattern correlation. In this paper we present a novel and efficient computational technique to determine antenna pattern correlation based on the evaluation of the surface current distribution by means of a spherical mode expansion. Armbrecht, G., Klemp, O., and Eul, H.: Spherical Mode Analysis of Planar Frequency-Independent Multi-Arm Antennas Based on Its Surface Current Distribution, Accepepted for publ. in Adv. Radio Sci., 2006. Chen, Y., Simpson, T L., and Ho, T Q.: Highly efficient technique for solving radiation and scattering problems, IEE Proc.-H, 139, 7–10, 1992. DuHamel, R H. and Isbell, D E.: Broadband Logarithmically Periodic Antenna Structures, IRE Intern. Conv. Rec., 5, 119–128, 1957. Foschini, G J.: Layered space-time architecture for wireless communication in fading environment when using multiple antennas, Bell Labs Tech. J., 41–59, 1996. Jakes, W C.: Microwave Mobile Communications, IEEE Press, Inc., New York, 1974. Kermoal, J P., Schumacher, L., Pedersen, K I., Morgensen,~P E., and Frederiksen,~F.: A Stochastic MIMO Radio Channel Model With Experimental Validation, 20, 1211–1226, 2002. Klemp, O. and Eul, H.: Radiation Pattern Analysis of Antenna Systems for MIMO and Diversity Configurations, Adv. Radio Sci., 3, 157–165, 2005. Klemp, O., Schultz, M., and Eul, H.: A Planar Broadband Antenna for Applications in WLAN and 3G, Proc. of the 2004 Intern.\ Sympos. Signals, Systems and Electronics ISSSE, Austria, 2004. Klemp, O., Schultz, M., and Eul, H.: Novel Logarithmically Periodic Antenna Structures for Broadband Polarization Diversity Reception, AEUE, Intern. J. on Electronics and Commun., 59, 268–277, 2005. Leifer, M C.: Signal Correlations in Coupled Cell and MIMO antennas, Antennas and Propagation Soc. Intern. Symp., 16-22 June 2002, 3, 194–197, 2002. Lo, Y T. and Lee, S W.: Antenna Handbook - Theory, Applications and Design, Van Nostrand Reinhold Company, New York, 1988. Narasimhan, M S., Christopher, S., and Varadarangan, K.: Modal Behavior of Spherical Waves from a Source of EM Radiation with Application to Spherical Scanning, 33, 350–354, 1985. Rumsey, V H.: Frequency Independent Antennas, IRE Intern. Conv. Rec., 5, 114–118, 1957. Stratton, J A.: Electromagnetic Theory, McGraw Hill, New York, 1941. Taga, T.: Analysis for Mean Effective Gain of Mobile Antennas in Land Mobile Radio Environments, 39, 117–131, 1990. Werner, D H. and Mittra, R.: Frontiers in Electromagnetics, IEEE Press Series on Microwave Technology and RF, New York, 2000. Yu, K. and Ottersten, B.: Models for MIMO Propagation Channels, Wiley Journal on Wireless Communications and Mobile Computing, Spec. Issue on Adapt.\ Antennas and MIMO Syst., 2002.