Presentation 2020-11-26
Doppler Frequency Detection Using Channel Impulse Response
Kazuma Hotta, Satoshi Denno, Hou Yafei,
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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
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
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)