Authors: |
T. Petermann, S. Vogeler, K.-D. Kammeyer |
Abstract: |
In this paper, we present two novel blind channel estimation algorithms for OFDM systems based upon the knowledge that the modulated and transmitted data are confined to a finite alphabet set. The Minimum Impulse Length (MIL) method exploits the correlations between adjacent subcarrier coefficients caused by time limited impulse responses and shows a very good estimation performance. Unfortunately, MIL and most other Finite-Alphabet based blind channel estimation approaches are known to be extremely complex due to an exhaustive search to be performed over a tremendous number of channel coefficient combinations. Our Clustered SubCarriers (CSC) method, however, dramatically reduces this number of coefficient combinations to be checked without a significant deterioration in estimation quality. Using bit error rates (BERs), both algorithm are tested with simulations and compared to other blind and nonblind channel estimators. |
Document type: |
Conference Paper |
Publication: |
Hamburg, Germany, 18. - 19. September 2001 |
Conference: |
6th International OFDM-Workshop (InOWo 01) |
Index: |
187 |
Files: |
BibTEX
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