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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Senning, C. Burg, A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Telecommun. Circuits Lab., Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland (Senning, C.; Burg, A.) |
| Abstract | In this paper we present an architecture for an MMSE filter matrix computation unit for signal detection in MIMO-OFDM communication systems. We propose to compute the required matrix inverse based on a Cholesky decomposition, followed by a Gauss-Jordan matrix inversion of the resulting triangular matrix. The high dynamic range required by this approach is traditionally conquered with custom floating-point formats or with fixed-point number representations with a large number of bits. We show in this paper that a block-floatingpoint scheme with only two normalization steps throughout the computation of the MMSE filter matrix is sufficient to achieve a BER performance close to that of a double precision floatingpoint implementation for a MIMO-OFDM systems with 64-QAM modulation. The corresponding circuit complexity is superior to that of a pure fixed-point implementation. |
| Sponsorship | IEEE |
| Starting Page | 787 |
| Ending Page | 790 |
| File Size | 652897 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479924523 |
| DOI | 10.1109/ICECS.2013.6815532 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-08 |
| Publisher Place | United Arab Emirates |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Matrix decomposition Pipelines Computer architecture OFDM Throughput Channel estimation Communication systems |
| Content Type | Text |
| Resource Type | Article |
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