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| Paper: | SAM-P6.2 |
| Session: | Space-Time Processing for Communications |
| Time: | Thursday, May 20, 09:30 - 11:30 |
| Presentation: |
Poster |
| Topic: |
Sensor Array and Multichannel Signal Processing: MIMO systems and space-time decoding |
| Title: |
STATISTICAL PREFILTER DESIGN FOR MIMO ZF AND MMSE RECEIVERS BASED ON MAJORIZATION THEORY |
| Authors: |
Mario Kiessling; University of Stuttgart | | |
| | Joachim Speidel; University of Stuttgart | | |
| Abstract: |
Recently, the authors have proposed statistical prefilters for MMSE and ZF receivers that minimize SER. In this paper, we give a general derivation of their structure based on majorization theory. For both receiver types it is shown that the optimal prefilter essentially transmits on the strongest long-term eigenmodes of the channel with proper power allocation. Moreover, simple closed-form power allocation schemes are presented for Rayleigh and Ricean fading environments. Interestingly, while the statistical prefilters exhibit the same basic mathematical structure as their short-term counterparts, they require only statistical information of the correlation properties and the Ricean component of the channel. Monte-Carlo simulations show that the proposed filters can achieve a considerable performance gain. Specifically, it is demonstrated that they can completely counteract the SER degradation due to a Ricean channel component. |
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