| Wang Chanfei (王婵飞),Xu Yamei,Xu Lei.[J].高技术通讯(英文),2020,26(1):98~101 |
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| Decision-feedback subset aided multiple-symbol differential detection |
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| DOI：doi：10.3772/j.issn.1006-6748.2020.01.013 |
| 中文关键词: |
| 英文关键词: multiple-symbol differential detection (MSDD), decision-feedback (DF), decision-feedback subset, ultra-wideband impulse radio (UWB-IR), differential space-time block-code (DSTBC) |
| 基金项目: |
| Author Name | Affiliation | | Wang Chanfei (王婵飞) | (School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, P.R.China) | | Xu Yamei | (School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, P.R.China) | | Xu Lei | (School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, P.R.China) |
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| 中文摘要: |
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| 英文摘要: |
| In view of the inaccuracy of the estimated symbols on the edge of the observation window, a decision-feedback subset aided multiple-symbol differential detection (MSDD) framework, dubbed DF-S-MSDD, is proposed in ultra-wideband impulse radio (UWB-IR) system with differential space-time block-code (DSTBC) modulation. Specifically, motivated by the decision-feedback aided MSDD (DF-MSDD), a subset of the decision-feedback symbols is selected, and the optimal symbols are preserved, and then all the remaining symbols are optimized. Furthermore, the simulations validate that the proposed DF-S-MSDD provides solid bit error-rate performance with a low complexity in UWB-IR system with DSTBC modulation. |
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