Abstract | ||
---|---|---|
In this paper we proposed a linearly constrained minimum variance receiver for a space-time coded multicarrier (MC) CDMA system in frequency selective fading channels. It is shown that in the proposed receiver the channel can be blindly estimated as the eigenvector that corresponds to the maximum eigenvalue of an autocorrelation matrix, and then, efficient algorithms for subspace tracking can be used. Computer simulations shows that the proposed channel estimation algorithm achieves performance comparable to traditional algorithms with less computational cost. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/ICC.2009.5198578 | ICC |
Keywords | Field | DocType |
frequency selective fading channel,proposed channel estimation algorithm,maximum eigenvalue,minimum variance receiver,blind channel estimation algorithm,mc-cdma receiver,cdma system,proposed receiver,computational cost,autocorrelation matrix,efficient algorithm,computer simulation,matrix decomposition,space time code,code division multiple access,fading,frequency,eigenvector,eigenvalue,autocorrelation,eigenvectors | Minimum-variance unbiased estimator,Subspace topology,Computer science,Fading,Autocorrelation matrix,Matrix decomposition,Algorithm,Communication channel,Code division multiple access,Autocorrelation | Conference |
ISSN | Citations | PageRank |
1550-3607 | 1 | 0.35 |
References | Authors | |
7 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
César A. Medina | 1 | 23 | 5.23 |
T. T. V. Vinhoza | 2 | 194 | 13.52 |
Raimundo Sampaio-Neto | 3 | 364 | 15.03 |