DocumentCode
2889122
Title
Estimating Statistical Eigen-Beamforming Gains Using Spatial Channel Correlation
Author
Thomas, Timothy A. ; Hillery, William J. ; Kepler, James ; Desai, Vip
Author_Institution
Motorola, Appl. Res. & Technol. Center, Schaumburg, IL, USA
fYear
2009
fDate
14-18 June 2009
Firstpage
1
Lastpage
5
Abstract
Statistical eigen-beamforming (EBF) is a widely used multiple antenna transmission technique in which one antenna weight is used over potentially a large bandwidth (e.g., all subcarriers in OFDM). With N transmit antennas, the maximum gain for EBF at a receiver is 20 log N decibels over a single antenna transmission (assuming a power unfair comparison where each transmit antenna has a fixed power so the addition of new antennas brings a beamforming gain as well as a total transmit power increase). Based on statistical analysis of field data and observations, this gain is nearly achievable with line-of- sight transmissions. While useful for characterizing the benefits of EBF, the statistical analysis does not indicate the realizable gain for a particular location. This paper presents a relationship between the EBF gain, spatial correlation of the channel, and the number of transmit antennas. The conjectured gain is compared to the expected gain based on an analysis of field data. The results of this comparison show that the spatial correlation as defined in this paper can be used to predict the EBF gain accurately for a variety of antenna spacings and polarizations.
Keywords
array signal processing; eigenvalues and eigenfunctions; statistical analysis; multiple antenna transmission technique; spatial channel correlation; statistical analysis; statistical eigen-beamforming gains; Antenna theory; Array signal processing; Broadband antennas; Communications Society; Covariance matrix; Directive antennas; OFDM; Receiving antennas; Statistical analysis; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location
Dresden
ISSN
1938-1883
Print_ISBN
978-1-4244-3435-0
Electronic_ISBN
1938-1883
Type
conf
DOI
10.1109/ICC.2009.5199005
Filename
5199005
Link To Document