RF Signal Frequency Identification in a Direct RF Undersampling Multi-Band Real-Time Spectrum Monitor for Wireless IoT Usage

Tomoyuki FURUICHI; Mizuki MOTOYOSHI; Suguru KAMEDA; Takashi SHIBA; Noriharu SUEMATSU

doi:10.1587/transcom.2021WWP0011

RF Signal Frequency Identification in a Direct RF Undersampling Multi-Band Real-Time Spectrum Monitor for Wireless IoT Usage

Tomoyuki FURUICHI, Mizuki MOTOYOSHI, Suguru KAMEDA, Takashi SHIBA, Noriharu SUEMATSU

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To reduce the complexity of direct radio frequency (RF) undersampling real-time spectrum monitoring in wireless Internet of Things (IoT) bands (920MHz, 2.4GHz, and 5 GHz bands), a design method of sampling frequencies is proposed in this paper. The Direct RF Undersampling receiver architecture enables the use of ADC with sampling clock lower frequency than receiving RF signal, but it needs RF signal identification signal processing from folded spectrums with multiple sampling clock frequencies. The proposed design method allows fewer sampling frequencies to be used than the conventional design method for continuous frequency range (D.C. to 5GHz-band). The proposed method reduced 2 sampling frequencies in wireless IoT bands case compared with the continuous range. The design result using the proposed method is verified by measurement.

Publication: IEICE TRANSACTIONS on Communications Vol.E105-B No.4 pp.461-471

Publication Date: 2022/04/01

Publicized: 2021/10/12

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2021WWP0011

Type of Manuscript: Special Section PAPER (Special Section on Wired-and-Wireless Network System Technologies in Beyond 5G Era)

Category: Software Defined Radio

Authors

Tomoyuki FURUICHI
  Tohoku University
Mizuki MOTOYOSHI
  Tohoku University
Suguru KAMEDA
  Tohoku University
Takashi SHIBA
  Tohoku University
Noriharu SUEMATSU
  Tohoku University

Keyword

real-time spectrum monitor, direct RF, undersampling, wireless communication, Internet of Things

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Tomoyuki FURUICHI, Mizuki MOTOYOSHI, Suguru KAMEDA, Takashi SHIBA, Noriharu SUEMATSU, "RF Signal Frequency Identification in a Direct RF Undersampling Multi-Band Real-Time Spectrum Monitor for Wireless IoT Usage" in IEICE TRANSACTIONS on Communications, vol. E105-B, no. 4, pp. 461-471, April 2022, doi: 10.1587/transcom.2021WWP0011.
Abstract: To reduce the complexity of direct radio frequency (RF) undersampling real-time spectrum monitoring in wireless Internet of Things (IoT) bands (920MHz, 2.4GHz, and 5 GHz bands), a design method of sampling frequencies is proposed in this paper. The Direct RF Undersampling receiver architecture enables the use of ADC with sampling clock lower frequency than receiving RF signal, but it needs RF signal identification signal processing from folded spectrums with multiple sampling clock frequencies. The proposed design method allows fewer sampling frequencies to be used than the conventional design method for continuous frequency range (D.C. to 5GHz-band). The proposed method reduced 2 sampling frequencies in wireless IoT bands case compared with the continuous range. The design result using the proposed method is verified by measurement.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021WWP0011/_p

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@ARTICLE{e105-b_4_461,
author={Tomoyuki FURUICHI, Mizuki MOTOYOSHI, Suguru KAMEDA, Takashi SHIBA, Noriharu SUEMATSU, },
journal={IEICE TRANSACTIONS on Communications},
title={RF Signal Frequency Identification in a Direct RF Undersampling Multi-Band Real-Time Spectrum Monitor for Wireless IoT Usage},
year={2022},
volume={E105-B},
number={4},
pages={461-471},
abstract={To reduce the complexity of direct radio frequency (RF) undersampling real-time spectrum monitoring in wireless Internet of Things (IoT) bands (920MHz, 2.4GHz, and 5 GHz bands), a design method of sampling frequencies is proposed in this paper. The Direct RF Undersampling receiver architecture enables the use of ADC with sampling clock lower frequency than receiving RF signal, but it needs RF signal identification signal processing from folded spectrums with multiple sampling clock frequencies. The proposed design method allows fewer sampling frequencies to be used than the conventional design method for continuous frequency range (D.C. to 5GHz-band). The proposed method reduced 2 sampling frequencies in wireless IoT bands case compared with the continuous range. The design result using the proposed method is verified by measurement.},
keywords={},
doi={10.1587/transcom.2021WWP0011},
ISSN={1745-1345},
month={April},}

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TY - JOUR
TI - RF Signal Frequency Identification in a Direct RF Undersampling Multi-Band Real-Time Spectrum Monitor for Wireless IoT Usage
T2 - IEICE TRANSACTIONS on Communications
SP - 461
EP - 471
AU - Tomoyuki FURUICHI
AU - Mizuki MOTOYOSHI
AU - Suguru KAMEDA
AU - Takashi SHIBA
AU - Noriharu SUEMATSU
PY - 2022
DO - 10.1587/transcom.2021WWP0011
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2022
AB - To reduce the complexity of direct radio frequency (RF) undersampling real-time spectrum monitoring in wireless Internet of Things (IoT) bands (920MHz, 2.4GHz, and 5 GHz bands), a design method of sampling frequencies is proposed in this paper. The Direct RF Undersampling receiver architecture enables the use of ADC with sampling clock lower frequency than receiving RF signal, but it needs RF signal identification signal processing from folded spectrums with multiple sampling clock frequencies. The proposed design method allows fewer sampling frequencies to be used than the conventional design method for continuous frequency range (D.C. to 5GHz-band). The proposed method reduced 2 sampling frequencies in wireless IoT bands case compared with the continuous range. The design result using the proposed method is verified by measurement.
ER -