| Presentation | 2017-06-23 A Multiple Differential Detection Based on Channel Prediction Employing Soft-Output Per-Survivor Processing Kazuki Shimomura, Toshiki Mori, Hiroshi Kubo, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to improve tracking capability for fast time-varying channels, this paper proposes demodulation schemes employing a soft-output Viterbi algorithm (SOVA) for multiple differential detection (MDD) as well as higher order channel prediction and error correction. Although QPSK are generally demodulated based on LLR (log-likelihood ratio) for its soft decisions, it is difficult for JD, which does not explicitly estimate channel state information, to derive LLR. This paper proposes soft decisions for PSP (per-survivor processing), which correspond to metrics difference between the two paths in the Viterbi algorithm (VA) of PSP, where PSP is JD based on the VA. The proposed scheme can improve tracking capability for time-varying channels without an increase of computational complexity. Finally, computer simulation results confirm that the proposed schemes can track four times larger maximum Doppler frequency in fading than the conventional schemes. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Soft-Output / Viterbi algorithm / Multiple Differential Detection / Higher Order Channel Prediction / Fast Time-Varying Fading |
| Paper # | RCS2017-77 |
| Date of Issue | 2017-06-14 (RCS) |
| Conference Information | |
| Committee | RCS |
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| Conference Date | 2017/6/21(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ishigaki Shoukou Kaikan |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | First Presentation in IEICE Technical Committee, Railroad Communications, Inter-Vehicle Communications, Road to Vehicle Communications, Resource Control, Scheduling, Wireless Communication Systems, etc. |
| Chair | Tomoaki Otsuki(Keio Univ.) |
| Vice Chair | Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) |
| Secretary | Eisuke Fukuda(Hokkaido Univ.) / Satoshi Suyama(NTT) / Fumiaki Maehara |
| Assistant | Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Multiple Differential Detection Based on Channel Prediction Employing Soft-Output Per-Survivor Processing |
| Sub Title (in English) | |
| Keyword(1) | Soft-Output |
| Keyword(2) | Viterbi algorithm |
| Keyword(3) | Multiple Differential Detection |
| Keyword(4) | Higher Order Channel Prediction |
| Keyword(5) | Fast Time-Varying Fading |
| 1st Author's Name | Kazuki Shimomura |
| 1st Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| 2nd Author's Name | Toshiki Mori |
| 2nd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| 3rd Author's Name | Hiroshi Kubo |
| 3rd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| Date | 2017-06-23 |
| Paper # | RCS2017-77 |
| Volume (vol) | vol.117 |
| Number (no) | RCS-103 |
| Page | pp.pp.161-166(RCS), |
| #Pages | 6 |
| Date of Issue | 2017-06-14 (RCS) |