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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zarifi, K. Gershman, A.B. |
| Copyright Year | 1991 |
| Abstract | A new blind subspace-based channel estimation technique is proposed for direct-sequence code-division multiple access (DS-CDMA) systems operating in the presence of unknown wide-sense stationary noise. Unlike most of the blind techniques developed for unknown correlated noise environments so far, the proposed algorithm is applicable to an arbitrary symbol constellation and does not require any auxiliary antennas at the receiver or any prior knowledge of the interfering user spreading codes. Our approach exploits the centro-Hermitian property of the unknown noise covariance matrix and makes use of the generalized correlation decomposition (GCD) to obtain an accurate estimate of the noise subspace and, consequently, of the user-of- interest channel vector. We also obtain optimal values of the GCD weighting matrices which maximally preserve the orthogonality of the estimated noise subspace to the actual signal subspace in the high signal-to-noise ratio (SNR) regime. It is shown that such an optimal choice of the weighting matrices transforms GCD to an extended form of the conventional canonical correlation decomposition (CCD). Simulation results further demonstrate that if such an extended CCD-based approach is used to estimate the user-of-interest channel vector, then the estimation performance can be substantially improved as compared to earlier SVD-based blind channel estimation techniques. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 5605 |
| Ending Page | 5617 |
| Page Count | 13 |
| File Size | 547399 |
| File Format | |
| ISSN | 1053587X |
| Volume Number | 56 |
| Issue Number | 11 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Blind equalizers Multiaccess communication Working environment noise Signal to noise ratio Covariance matrix Matrix decomposition Channel estimation Direct-sequence code-division multiple access Receiving antennas Charge coupled devices subspace techniques Blind channel estimation canonical correlation decomposition (CCD) generalized correlation decomposition (GCD) multiuser detection |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering |
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