Title:
RADIOWAVE INFORMATION OUTPUT DEVICE, RADIOWAVE INFORMATION OUTPUT METHOD, RADIOWAVE INFORMATION OUTPUT SYSTEM, AND RECORDING MEDIUM
Document Type and Number:
WIPO Patent Application WO/2023/157141
Kind Code:
A1
Abstract:
In order to output information for reducing the effort needed for examining radiowave interference or specifying an interference source, this radiowave information output device: receives, with respect to a reception radiowave that is received by a radiowave sensor, radiowave information and reception waveform data that indicates a signal waveform of the reception radiowave; collates whether reception metadata, which is identification information about a radiowave transmission source and is included in the received radiowave information, matches collation metadata that is identification information about a known radiowave transmission source; collates, with respect to the reception radiowave for which the reception metadata does not match any of the collation metadata, whether a reception signal waveform, which is indicated by the reception waveform data, matches collation signal waveforms that are known radiowave signal waveforms; and outputs unknown radiowave information pertaining to an unknown radiowave with respect to the unknown radiowave that is the reception radiowave of which the reception signal waveform has not matched any one of the collation signal waveforms.
Inventors:
KURIBARA TAKASHI (JP)
SUGAI KOHEI (JP)
KITA MASATO (JP)
KUMAGAI RYOSUKE (JP)
SUGAI KOHEI (JP)
KITA MASATO (JP)
KUMAGAI RYOSUKE (JP)
Application Number:
PCT/JP2022/006226
Publication Date:
August 24, 2023
Filing Date:
February 16, 2022
Export Citation:
Assignee:
NEC CORP (JP)
International Classes:
H04B1/10; H04B17/345
Domestic Patent References:
| WO2013046849A1 | 2013-04-04 |
Foreign References:
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Other References:
OHTSUJI TAICHI; TAKEUCHI TOSHIKI; SOMA TATSUYA; KITSUNEZUKA MASAKI: "Noise-Tolerant, Deep-Learning-Based Radio Identification with Logarithmic Power Spectrum", ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE, 20 May 2019 (2019-05-20), pages 1 - 6, XP033582434, DOI: 10.1109/ICC.2019.8761929
OTSUJI TAICHI, JUNPEI OKUNO, TAKASHI KURIHARA, TOSHIKI TAKEUCHI, MASAHIRO KANEMATSU: "Current status and future of radio wave identification technology", NEC CORPORATION, vol. 74, no. 1, 1 August 2021 (2021-08-01), pages 86 - 91, XP093085211
YOUSSEF KHALID; BOUCHARD LOUIS; HAIGH KAREN; SILOVSKY JAN; THAPA BISHAL; VALK CHRIS VANDER: "Machine Learning Approach to RF Transmitter Identification", IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION, IEEE, vol. 2, no. 4, 1 December 2018 (2018-12-01), pages 197 - 205, XP011708102, DOI: 10.1109/JRFID.2018.2880457
OTSUJI TAICHI, JUNPEI OKUNO, TAKASHI KURIHARA, TOSHIKI TAKEUCHI, MASAHIRO KANEMATSU: "Current status and future of radio wave identification technology", NEC CORPORATION, vol. 74, no. 1, 1 August 2021 (2021-08-01), pages 86 - 91, XP093085211
YOUSSEF KHALID; BOUCHARD LOUIS; HAIGH KAREN; SILOVSKY JAN; THAPA BISHAL; VALK CHRIS VANDER: "Machine Learning Approach to RF Transmitter Identification", IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION, IEEE, vol. 2, no. 4, 1 December 2018 (2018-12-01), pages 197 - 205, XP011708102, DOI: 10.1109/JRFID.2018.2880457
Attorney, Agent or Firm:
KITAJIMA Hiroshi et al. (JP)
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