| Presentation | 2022-02-25 Machine Learning Based Multiplexing Modulation for Navigation Systems Takagi Manabu, Noda Yasunori, Hangai Masatake, Noda Masaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | There is a method called POCET (Phase Optimized Constant Envelope Transmission) that multiplexes and transmits multiple diffusion signals on the same carrier. Determining the placement of signal points in POCET is a non-linear optimization problem, so this problem is solved by limiting the placement of signal points on a particular envelope and limiting the optimization target to phase only. This means that depending on the diffused signal to be multiplexed, the signal point may move significantly from the original signal point, resulting in poor performance. Therefore, this paper proposes a new way to use machine learning to multiplex diffusion codes that extend the optimization target not only to phase but also to amplitude. As a result, the amount of deterioration of POCET, which is a precedent example, due to 4-signal multiplexing was about 8%, and the amount of deterioration of the proposed method was about 4% on average, confirming signal deterioration. Multiplexing can reduce it by about half. For 5 signal multiplexing, the POCET method has been found to cause up to about 85% signal degradation, while the proposed method causes up to 16% signal degradation. This shows that the proposed method can realize 5-signal multiplexing, which was not possible with the POCET method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | GNSS / Navigation Signal / Signal Multiplexing / Machine Learning |
| Paper # | SAT2021-68 |
| Date of Issue | 2022-02-17 (SAT) |
| Conference Information | |
| Committee | SAT / SANE |
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| Conference Date | 2022/2/24(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Satellite technology, etc. |
| Chair | Hiroyasu Ishikawa(Nihon Univ.) / Toshifumi Moriyama(Nagasaki Univ.) |
| Vice Chair | Tetsushi Ikegami(Meiji Univ.) / Takana Kaho(Shonan Inst. of Tech.) / Makoto Tanaka(Tokai Univ.) / Takeshi Amishima(Mitsubishi Electric) |
| Secretary | Tetsushi Ikegami(KDDI Research) / Takana Kaho(NICT) / Makoto Tanaka(Univ. of Tokyo) / Takeshi Amishima(ENRI) |
| Assistant | Daisuke Goto(NTT) / Yuuki Koizumi(NHK) / Takayuki Kitamura(Mitsubishi Electric) |
| Paper Information | |
| Registration To | Technical Committee on Satellite Telecommunications / Technical Committee on Space, Aeronautical and Navigational Electronics |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Machine Learning Based Multiplexing Modulation for Navigation Systems |
| Sub Title (in English) | |
| Keyword(1) | GNSS |
| Keyword(2) | Navigation Signal |
| Keyword(3) | Signal Multiplexing |
| Keyword(4) | Machine Learning |
| 1st Author's Name | Takagi Manabu |
| 1st Author's Affiliation | Information Technology R&D Center, Mitsubishi Electric Corporation(Mitsubishi Electric Corp.) |
| 2nd Author's Name | Noda Yasunori |
| 2nd Author's Affiliation | Information Technology R&D Center, Mitsubishi Electric Corporation(Mitsubishi Electric Corp.) |
| 3rd Author's Name | Hangai Masatake |
| 3rd Author's Affiliation | Information Technology R&D Center, Mitsubishi Electric Corporation(Mitsubishi Electric Corp.) |
| 4th Author's Name | Noda Masaki |
| 4th Author's Affiliation | Information Technology R&D Center, Mitsubishi Electric Corporation(Mitsubishi Electric Corp.) |
| Date | 2022-02-25 |
| Paper # | SAT2021-68 |
| Volume (vol) | vol.121 |
| Number (no) | SAT-379 |
| Page | pp.pp.83-88(SAT), |
| #Pages | 6 |
| Date of Issue | 2022-02-17 (SAT) |