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| Paper: | SPCOM-L3.2 |
| Session: | Superimposed training |
| Time: | Thursday, May 20, 09:50 - 10:10 |
| Presentation: |
Lecture |
| Topic: |
Signal Processing for Communications: Space-Time/MIMO Channel Equalization |
| Title: |
TURBO ESTIMATION OF CHANNEL AND SYMBOLS IN PRECODED MIMO SYSTEMS |
| Authors: |
Anna Scaglione; Cornell University | | |
| | Azadeh Vosoughi; Cornell University | | |
| Abstract: |
We consider a block fading frequency selective multi-inputmulti-output (MIMO) channel in additive white Gaussian noise(AWGN). The channel input is a training vector superimposedon a linearly precoded vector of Gaussian symbols. To achieve abetter performance over the conventional least-squares (LS), weutilize the linear mean square error (LMMSE) symbol estimate toimprove the initial LS estimate and update the symbol estimationaccordingly. We provide the guidelines to design training whichminimizes the MSE of the initial LS estimate. |
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