Multiobjective optimization for pre-DFT combining in coded SIMO-OFDM systems
| Autor: | Hong-Wei Shieh, Yinman Lee, Yun-jung Hsieh |
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| Rok vydání: | 2010 |
| Předmět: |
Mathematical optimization
Orthogonal frequency-division multiplexing Word error rate Multi-objective optimization Computer Science Applications Signal-to-noise ratio (imaging) Modeling and Simulation Convex optimization Code (cryptography) Bit error rate Electrical and Electronic Engineering Error detection and correction Computer Science::Information Theory Mathematics |
| Zdroj: | IEEE Communications Letters. 14:303-305 |
| ISSN: | 1089-7798 |
| DOI: | 10.1109/lcomm.2010.04.092148 |
| Popis: | For coded SIMO-OFDM systems, pre-DFT combining was previously shown to provide a good trade-off between error-rate performance and processing complexity. Max-sum SNR and max-min SNR are two reasonable ways for obtaining these combining weights. In this letter, we employ multiobjective optimization to further reveal the suitability and limitation of these two criteria. Our results show that: (1) Neither max-sum SNR nor max-min SNR is universally good; (2) For better error-rate performance, the means for weight calculation should be adapted according to the capability of the error-correcting code used, and multiobjective optimization can help in the determination. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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