Second order statistics of NLOS indoor MIMO channels based on 5.2 GHz measurements

Herein, results from measurements conducted by the University of Bristol are presented. The channel characteristics of multiple input multiple output (MIMO) indoor systems at 5.2 GHz are studied. Our investigation shows that the envelope of the channel for non-line-of-sight (NLOS) indoor situations are approximately Rayleigh distributed and consequently we focus on a statistical description of the first and second order moments of the narrowband MIMO channel. Furthermore, it is shown that for NLOS indoor scenarios, the MIMO channel covariance matrix can be well approximated by a Kronecker product of the covariance matrices describing the correlation at the transmitter and receiver side respectively. A statistical narrowband model for the NLOS indoor MIMO channel based on this covariance structure is presented.

[1]  Klaus I. Pedersen,et al.  Experimental investigation of correlation properties of MIMO radio channels for indoor picocell scenarios , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).

[2]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[3]  Mark A Beach,et al.  Initial investigation of multiple-input multiple-output (MIMO) channels in indoor environments , 2000, IEEE Benelux Chapter on Vehicular Technology and Communications. Symposium on Communications and Vehicular Technology. SCVT-2000. Proceedings (Cat. No.00EX465).

[4]  Kai Yu,et al.  Measurement analysis of NLOS indoor MIMO channels , 2001 .

[5]  R. Stridh,et al.  MIMO channel capacity of a measured indoor radio channel at 5.8 GHz , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

[6]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[7]  Peter Strobach Low-rank detection of multichannel Gaussian signals using block matrix approximation , 1995, IEEE Trans. Signal Process..

[8]  K. Pedersen,et al.  A stochastic multiple-input-multiple-output radio channel model for evaluation of space-time coding algorithms , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).

[9]  Gene H. Golub,et al.  Matrix computations , 1983 .

[10]  Helmut Bölcskei,et al.  MIMO wireless channels: capacity and performance prediction , 2000, Globecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137).

[11]  Joseph M. Kahn,et al.  Fading correlation and its effect on the capacity of multielement antenna systems , 2000, IEEE Trans. Commun..

[12]  C.C. Martin,et al.  Multiple-input multiple-output (MIMO) radio channel measurements , 2001, IEEE Antennas and Propagation Society International Symposium. 2001 Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (Cat. No.01CH37229).

[13]  Bjorn Ottersten,et al.  Spatial characterization of indoor radio channel measurements at 5 GHz , 2000, Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop. SAM 2000 (Cat. No.00EX410).