| Presentation | 2022-02-24 Multiuser Detection of Collided AIS Packets using Iterative Channel Estimation Kohei Nozaki, Yuyuan Chang, Kazuhiko Fukawa, Daichi Hirahara, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The space-based automatic identification system (AIS) has attracted attention because the satellites can receive AIS signals from ships located away from the coast. Japan Aerospace Exploration Agency (JAXA) has conducted an experiment called space based AIS experiment (SPAISE), and shown that the satellites can observe AIS signals with Doppler shifts. Due to the wide coverage area of the satellite, however, multiple AIS packets collide at the satellite's receiver, which makes it difficult to detect the signals using conventional detection schemes. To cope with this problem, multiuser detection using parallel interference cancellation (PIC) has been investigated, and it has shown excellent detection performance when the channel parameters are completely known. However, under a low desired to undesired signal power ratio (DUR) condition, the bit error rate (BER) is significantly degraded due to insufficiently accurate estimates of the channel parameters. To alleviate the degradation, this report proposes sequential channel parameter estimation for PIC, which can improve the estimation accuracy and thus can maintain the good BER performance even when the DUR is low. Besides the conventional correlation-based channel parameter estimation, the proposed scheme employs the quasi-Newton and least squares methods for the estimation of the Doppler frequencies and complex envelopes, respectively. Moreover, the correlation-based estimation of the propagation delay time is repeated again. Computer simulations under the conditions of two collision packets and Rician fading channels demonstrate that the proposed scheme can improve the channel estimation accuracy and average BER performance. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Automatic identification system / space-based AIS / correlation-based estimation / PIC / least squares method |
| Paper # | SAT2021-61 |
| 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) | Multiuser Detection of Collided AIS Packets using Iterative Channel Estimation |
| Sub Title (in English) | |
| Keyword(1) | Automatic identification system |
| Keyword(2) | space-based AIS |
| Keyword(3) | correlation-based estimation |
| Keyword(4) | PIC |
| Keyword(5) | least squares method |
| 1st Author's Name | Kohei Nozaki |
| 1st Author's Affiliation | Tokyo Institute of Technology(Tokyo Tech) |
| 2nd Author's Name | Yuyuan Chang |
| 2nd Author's Affiliation | Tokyo Institute of Technology(Tokyo Tech) |
| 3rd Author's Name | Kazuhiko Fukawa |
| 3rd Author's Affiliation | Tokyo Institute of Technology(Tokyo Tech) |
| 4th Author's Name | Daichi Hirahara |
| 4th Author's Affiliation | Japan Aerospace Exploration Agency(JAXA) |
| Date | 2022-02-24 |
| Paper # | SAT2021-61 |
| Volume (vol) | vol.121 |
| Number (no) | SAT-379 |
| Page | pp.pp.51-56(SAT), |
| #Pages | 6 |
| Date of Issue | 2022-02-17 (SAT) |