Abstract
In soft decoding, log-likelihood ratios (LLRs) are calculated from estimated data symbols. Data symbols from proper constellation diagrams such as QPSK are often estimated using the linear minimum mean square error (LMMSE) estimator. We prove that the recently introduced component-wise conditionally unbiased (CWCU) LMMSE estimator results in the very same LLRs as the LMMSE estimator for typical model assumptions. For improper constellation diagrams such as 8-QAM, we show that the widely linear versions of the LMMSE and the CWCU LMMSE estimator also yield identical LLRs. In that case, the CWCU estimator allows to reduce the complexity of the LLR determination.
Originalsprache | Englisch |
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Titel | 2016 50th Asilomar Conference on Signals, Systems and Computers |
Herausgeber (Verlag) | IEEE Computer Society |
Seiten | 633-637 |
Seitenumfang | 5 |
ISBN (Print) | 978-1-5386-3955-9 |
DOIs | |
Publikationsstatus | Veröffentlicht - 9 Nov. 2016 |
Extern publiziert | Ja |
Veranstaltung | 2016 50th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, USA Dauer: 6 Nov. 2016 → 9 Nov. 2016 |
Konferenz
Konferenz | 2016 50th Asilomar Conference on Signals, Systems and Computers |
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Zeitraum | 6/11/16 → 9/11/16 |