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Maximum Doppler Frequency Detection Based on Likelihood Estimation With Theoretical Thresholds
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Summary :
This paper proposes a novel maximum Doppler frequency detection technique for user moving velocity estimation. The maximum Doppler frequency is estimated in the proposed detection technique by making use of the fact that user moving velocity is not distributed continuously. The fluctuation of the channel state information during a packet is applied for the proposed detection, in which likelihood estimation is performed by comparing the fluctuation with the thresholds. The thresholds are theoretically derived on the assumption that the fluctuation is distributed with an exponential function. An approximated detection technique is proposed to simplify the theoretical threshold derivation. The performance of the proposed detection is evaluated by computer simulation. The proposed detection accomplishes better detection performance as the fluctuation values are summed over more packets. The proposed detection achieves about 90% correct detection performance in a fading channel with the Eb/N0 = 35dB, when the fluctuation values are summed over only three packets. Furthermore, the approximated detection also achieves the same detection performance.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E105-B No.5 pp.657-664
- Publication Date
- 2022/05/01
- Publicized
- 2021/10/25
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2021EBP3075
- Type of Manuscript
- PAPER
- Category
- Terrestrial Wireless Communication/Broadcasting Technologies
Authors
Satoshi DENNO
Okayama University
Kazuma HOTTA
Okayama University
Yafei HOU
Okayama University
Keyword
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Satoshi DENNO, Kazuma HOTTA, Yafei HOU, "Maximum Doppler Frequency Detection Based on Likelihood Estimation With Theoretical Thresholds" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 5, pp. 657-664, May 2022, doi: 10.1587/transcom.2021EBP3075.
Abstract: This paper proposes a novel maximum Doppler frequency detection technique for user moving velocity estimation. The maximum Doppler frequency is estimated in the proposed detection technique by making use of the fact that user moving velocity is not distributed continuously. The fluctuation of the channel state information during a packet is applied for the proposed detection, in which likelihood estimation is performed by comparing the fluctuation with the thresholds. The thresholds are theoretically derived on the assumption that the fluctuation is distributed with an exponential function. An approximated detection technique is proposed to simplify the theoretical threshold derivation. The performance of the proposed detection is evaluated by computer simulation. The proposed detection accomplishes better detection performance as the fluctuation values are summed over more packets. The proposed detection achieves about 90% correct detection performance in a fading channel with the Eb/N0 = 35dB, when the fluctuation values are summed over only three packets. Furthermore, the approximated detection also achieves the same detection performance.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3075/_p
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@ARTICLE{e105-b_5_657,
author={Satoshi DENNO, Kazuma HOTTA, Yafei HOU, },
journal={IEICE TRANSACTIONS on Communications},
title={Maximum Doppler Frequency Detection Based on Likelihood Estimation With Theoretical Thresholds},
year={2022},
volume={E105-B},
number={5},
pages={657-664},
abstract={This paper proposes a novel maximum Doppler frequency detection technique for user moving velocity estimation. The maximum Doppler frequency is estimated in the proposed detection technique by making use of the fact that user moving velocity is not distributed continuously. The fluctuation of the channel state information during a packet is applied for the proposed detection, in which likelihood estimation is performed by comparing the fluctuation with the thresholds. The thresholds are theoretically derived on the assumption that the fluctuation is distributed with an exponential function. An approximated detection technique is proposed to simplify the theoretical threshold derivation. The performance of the proposed detection is evaluated by computer simulation. The proposed detection accomplishes better detection performance as the fluctuation values are summed over more packets. The proposed detection achieves about 90% correct detection performance in a fading channel with the Eb/N0 = 35dB, when the fluctuation values are summed over only three packets. Furthermore, the approximated detection also achieves the same detection performance.},
keywords={},
doi={10.1587/transcom.2021EBP3075},
ISSN={1745-1345},
month={May},}
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TY - JOUR
TI - Maximum Doppler Frequency Detection Based on Likelihood Estimation With Theoretical Thresholds
T2 - IEICE TRANSACTIONS on Communications
SP - 657
EP - 664
AU - Satoshi DENNO
AU - Kazuma HOTTA
AU - Yafei HOU
PY - 2022
DO - 10.1587/transcom.2021EBP3075
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2022
AB - This paper proposes a novel maximum Doppler frequency detection technique for user moving velocity estimation. The maximum Doppler frequency is estimated in the proposed detection technique by making use of the fact that user moving velocity is not distributed continuously. The fluctuation of the channel state information during a packet is applied for the proposed detection, in which likelihood estimation is performed by comparing the fluctuation with the thresholds. The thresholds are theoretically derived on the assumption that the fluctuation is distributed with an exponential function. An approximated detection technique is proposed to simplify the theoretical threshold derivation. The performance of the proposed detection is evaluated by computer simulation. The proposed detection accomplishes better detection performance as the fluctuation values are summed over more packets. The proposed detection achieves about 90% correct detection performance in a fading channel with the Eb/N0 = 35dB, when the fluctuation values are summed over only three packets. Furthermore, the approximated detection also achieves the same detection performance.
ER -
English
