Abstract | ||
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Adaptive space-frequency RAKE receivers use maximum ratio combining and multi-user interference suppression to obtain a considerable increase in performance in DS-CDMA systems such as WCDMA. To this end, the signal-plus-interference-and-noise and the interference-plus-noise space-time covariance matrices are estimated. The computational complexity is reduced significantly by transforming the covariance matrices into the space-frequency domain and by omitting noisy space-frequency bins. The optimum weight vector for symbol decisions is the "largest" generalized eigenvector of the resulting matrix pencil. By iteratively updating the optimum weight vector slot by slot, real-time applicability becomes feasible while the fast fading is still tracked. The performance and the computational complexity depend on the number of space-frequency bins, antenna elements, and iterations. Therefore, the performance can easily be scaled with respect to the available computational power. |
Year | DOI | Venue |
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1999 | 10.1109/ICASSP.1999.758418 | ICASSP |
Keywords | Field | DocType |
ds-cdma system,noisy space-frequency bin,interference-plus-noise space-time covariance matrix,space-frequency bin,computational complexity,space-frequency domain,optimum weight vector slot,available computational power,optimum weight vector,covariance matrix,eigenvectors,matrix pencil,frequency,power control,code division multiple access,generalized eigenvector,performance,radio receivers,iterations,maximum ratio combining,space time,fading,spread spectrum communication,wcdma,rake receiver | Rake,Generalized eigenvector,Maximal-ratio combining,Matrix (mathematics),Computer science,Fading,Control theory,Covariance,Computational complexity theory,Spread spectrum | Conference |
ISSN | ISBN | Citations |
1520-6149 | 0-7803-5041-3 | 1 |
PageRank | References | Authors |
0.58 | 2 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
C. Brunner | 1 | 1 | 0.58 |
M. Haardt | 2 | 495 | 45.19 |
Josef A. Nossek | 3 | 539 | 50.14 |