Presentation | 2020-11-26 Doppler Frequency Detection Using Channel Impulse Response Kazuma Hotta, Satoshi Denno, Hou Yafei, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | With the spread of the Internet of Things (IoT), the detection of terminal movement has become an issue. In the IoT, the user can use it while stopping or moving. Therefore, in order to provide services suitable for each situation, it is necessary to detect the movement of the terminals. In order to detect the movement of the terminal, various additional technologies are required. In this paper, we consider the method for Doppler frequency determination using only wireless communication technology with Doppler variation due to terminal movement without the additional technology. The variation amount due to Doppler is calculated from the channel impulse response obtained from the channel estimation. Then, by modeling the amount of variation with an exponential function, we detect the threshold of two Doppler frequencies and Doppler frequency. We reduce the computational cost of the Doppler frequency detection method with frequency domain equalization of the conventional method. We also show that increasing the number of sample packets is effective in the detection error characteristics. By increasing the number of sample packets from 1 to 5, the characteristic is improved by about 40% at Eb/N0 = 35[dB]. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Doppler frequency / Channel estimation / Bessel function / Cumulative distribution function |
Paper # | SRW2020-25 |
Date of Issue | 2020-11-19 (SRW) |
Conference Information | |
Committee | SRW / SeMI / CNR |
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Conference Date | 2020/11/26(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | IoT Workshop |
Chair | Satoshi Denno(Okayama Univ.) / Susumu Ishihara(Shizuoka Univ.) / Kazunori Takashio(Keio Univ.) |
Vice Chair | Keiichi Mizutani(Kyoto Univ.) / Kentaro Saito(Tokyo Inst. of Tech.) / Hanako Noda(Anritsu) / Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.) / Masayuki Kanbara(NAIST) / Yoshihiko Murakawa(Fujitsu Labs.) |
Secretary | Keiichi Mizutani(NTT) / Kentaro Saito(NIigata Univ.) / Hanako Noda(Kyoto Univ.) / Kazuya Monden(Osaka Univ.) / Koji Yamamoto(Hitachi) / Masayuki Kanbara(Waseda Univ.) / Yoshihiko Murakawa(Shibaura Inst. of Tech.) |
Assistant | Masaaki Fuse(Anritsu) / Akihito Noda(Nanzan Univ.) / Yuki Katsumata(NTT DOCOMO) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) / Akira Uchiyama(Osaka Univ.) / Yuka Kobayashi(Toshiba) / Masanori Yokoyama(NTT) |
Paper Information | |
Registration To | Technical Committee on Short Range Wireless Communications / Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Cloud Network Robotics |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Doppler Frequency Detection Using Channel Impulse Response |
Sub Title (in English) | |
Keyword(1) | Doppler frequency |
Keyword(2) | Channel estimation |
Keyword(3) | Bessel function |
Keyword(4) | Cumulative distribution function |
1st Author's Name | Kazuma Hotta |
1st Author's Affiliation | Okayama University(Okayama Univ.) |
2nd Author's Name | Satoshi Denno |
2nd Author's Affiliation | Okayama University(Okayama Univ.) |
3rd Author's Name | Hou Yafei |
3rd Author's Affiliation | Okayama University(Okayama Univ.) |
Date | 2020-11-26 |
Paper # | SRW2020-25 |
Volume (vol) | vol.120 |
Number (no) | SRW-260 |
Page | pp.pp.1-6(SRW), |
#Pages | 6 |
Date of Issue | 2020-11-19 (SRW) |