The double-directional radio channel

We introduce the concept of the double-directional mobile radio channel. It is called this because it includes angular information at both link ends, e.g., at the base station and at the mobile station. We show that this angular information can be obtained with synchronized antenna arrays at both link ends. In wideband high-resolution measurements, we use a switched linear array at the receiver and a virtual-cross array at the transmitter. We evaluate the raw measurement data with a technique that alternately used estimation and beamforming, and that relied on ESPRIT (estimation of signal parameters via rotational invariance techniques) to obtain superresolution in both angular domains and in the delay domain. In sample microcellular scenarios (open and closed courtyard, line-of-sight and obstructed line-of-sight), up to 50 individual propagation paths are determined. The major multipath components are matched precisely to the physical environment by geometrical considerations. Up to three reflection/scattering points per propagation path are identified and localized, lending insight into the multipath spreading properties in a microcell. The extracted multipath parameters allow unambiguous scatterer identification and channel characterization, independently of a specific antenna, its configuration (single/array), and its pattern. The measurement results demonstrate a considerable amount of power being carried via multiply reflected components, thus suggesting revisiting the popular single-bounce propagation models. It turns out that the wideband double-directional evaluation is a most complete method for separating multipath components. Due to its excellent spatial resolution, the double-directional concept provides accurate estimates of the channel's multipath-richness, which is the important parameter for the capacity of multiple-input multiple-output (MIMO) channels.

[1]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.

[2]  Klaus I. Pedersen,et al.  Channel parameter estimation in mobile radio environments using the SAGE algorithm , 1999, IEEE J. Sel. Areas Commun..

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

[4]  E. Bonek,et al.  High-resolution 3-D direction-of-arrival determination for urban mobile radio , 1997 .

[5]  P. L. Chin Cheong Multipath component estimation for indoor radio channels , 1996 .

[6]  A. Robert Calderbank,et al.  Space-Time Codes for High Data Rate Wireless Communications : Performance criterion and Code Construction , 1998, IEEE Trans. Inf. Theory.

[7]  T. Zwick,et al.  Results of double-directional channel sounding measurements , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[8]  E. Bonek,et al.  Directional macro-cell channel characterization from urban measurements , 2000 .

[9]  Reiner S. Thomä,et al.  Model Scenarios for Direction-Selective Adaptive Antennas in Cellular Mobile Communication Systems – Scanning the Literature , 1999, Wirel. Pers. Commun..

[10]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[11]  Thomas Kailath,et al.  On spatial smoothing for direction-of-arrival estimation of coherent signals , 1985, IEEE Trans. Acoust. Speech Signal Process..

[12]  R. Heddergott,et al.  Wideband angle of arrival estimation using the SAGE algorithm , 1996, Proceedings of ISSSTA'95 International Symposium on Spread Spectrum Techniques and Applications.

[13]  Pertti Vainikainen,et al.  Dynamic wideband measurement of mobile radio channel with adaptive antennas , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[14]  J. Bach Andersen,et al.  Antenna arrays in mobile communications: gain, diversity, and channel capacity , 2000 .

[15]  Robert W. Heath,et al.  Multiple antenna arrays for transmitter diversity and space-time coding , 1999, 1999 IEEE International Conference on Communications (Cat. No. 99CH36311).

[16]  D. Hampicke,et al.  Array measurement of the double-directional mobile radio channel , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[17]  Josef A. Nossek,et al.  Unitary ESPRIT: how to obtain increased estimation accuracy with a reduced computational burden , 1995, IEEE Trans. Signal Process..

[18]  Joseph M. Kahn,et al.  Wireless Communication Using Dual Antenna Arrays , 1999 .

[19]  M. Viberg,et al.  Two decades of array signal processing research: the parametric approach , 1996, IEEE Signal Process. Mag..

[20]  Gerd Sommerkorn,et al.  Identification of time-variant directional mobile radio channels , 2000, IEEE Trans. Instrum. Meas..

[21]  B.D. Van Veen,et al.  Beamforming: a versatile approach to spatial filtering , 1988, IEEE ASSP Magazine.

[22]  Helmut Bölcskei,et al.  On the capacity of OFDM-based spatial multiplexing systems , 2002, IEEE Trans. Commun..

[23]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[24]  P.E. Mogensen,et al.  Experimental investigation of multipath richness for multi-element transmit and receive antenna arrays , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[25]  U. Martin,et al.  Spatio-temporal radio channel characteristics in urban macrocells , 1998 .

[26]  Michael T. Chryssomallis,et al.  Smart antennas , 2000 .

[27]  R. Cattell The Scree Test For The Number Of Factors. , 1966, Multivariate behavioral research.

[28]  John M. Cioffi,et al.  Spatio-temporal coding for wireless communication , 1998, IEEE Trans. Commun..

[29]  Theodore S. Rappaport,et al.  Overview of spatial channel models for antenna array communication systems , 1998, IEEE Wirel. Commun..