文件名称:1-comp
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In this paper, we investigate blind channel estimation for Multiple Input Multiple Output (MIMO) multi-carrier
CDMA (MC-CDMA) systems in the uplink scenario. An Autocorrelation Contribution Matrix (ACM) method is proposed in
comparison with the subspace approach. Using only second order
statistics, the ACM approach shows similar performance to that
of subspace based approach. The added advantage is that it eliminates the need for rank estimation and noise power calculation
as in subspace technique. In particular we incorporate blind
channel estimation with Layered Space Frequency Equalisation
(LSFE),which employs successive interference cancellation and
therefore provides significant performance improvement over the
conventional linear minimum mean square error (MMSE) based
approach.
CDMA (MC-CDMA) systems in the uplink scenario. An Autocorrelation Contribution Matrix (ACM) method is proposed in
comparison with the subspace approach. Using only second order
statistics, the ACM approach shows similar performance to that
of subspace based approach. The added advantage is that it eliminates the need for rank estimation and noise power calculation
as in subspace technique. In particular we incorporate blind
channel estimation with Layered Space Frequency Equalisation
(LSFE),which employs successive interference cancellation and
therefore provides significant performance improvement over the
conventional linear minimum mean square error (MMSE) based
approach.
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文件名 | 大小 | 更新时间 |
---|---|---|
1-comp.pdf | 127972 | 2017-09-06 |
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