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Patent Searching and Data


Title:
RADIO-WAVE DETECTION DEVICE
Document Type and Number:
WIPO Patent Application WO/2019/021459
Kind Code:
A1
Abstract:
The present invention is provided with: a prediction unit (19) that predicts a feature amount which can be extracted in the future by a feature amount extraction unit (12) by use of a prediction model for the feature amount; and a hypothesis generation unit (15) that, by using a plurality of feature amounts extracted by the feature amount extraction unit (12) and the feature amount predicted by the prediction unit (19), generates a hypothesis for hypothesizing about a transmission source of a radio wave detected by a reception unit (11).

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Inventors:
YAMADA TETSUTARO (JP)
TAKAHASHI YOSHIKI (JP)
HARADA TETSUJI (JP)
OBATA YASUSHI (JP)
Application Number:
PCT/JP2017/027448
Publication Date:
January 31, 2019
Filing Date:
July 28, 2017
Export Citation:
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Assignee:
MITSUBISHI ELECTRIC CORP (JP)
International Classes:
G01S7/38
Foreign References:
JPH1082850A1998-03-31
JP2003215225A2003-07-30
JP2008256501A2008-10-23
JP2006234674A2006-09-07
JP2006177786A2006-07-06
JP2000266838A2000-09-29
US5381150A1995-01-10
Other References:
HISAKAZU MANIWA ET AL.: "MHT deinterleaving method of pulse trains in consideration of false and miss detection", IEICE TECHNICAL REPORT, vol. 101, no. 33, 20 April 2001 (2001-04-20), pages 69 - 76, XP009518451, ISSN: 0913-5685
TETSUTARO YAMADA ET AL.: "Hybrid Multiple Hypotheses Tracking to Suppress Grating Lobe Observations in Separated Antenna Arrays", PROCEEDINGS OF THE 2016 IEICE GENERAL CONFERENCE, 18 March 2016 (2016-03-18), pages 285, XP055626805, ISSN: 1349-1369
J. LIUH. MENGY LIUX. WANG: "Deinterleaving pulse trains in unconventional circumstances using multiple hypothesis tracking algorithm", SIGNAL PROCESS, vol. 90, no. 8, 2010, pages 2581 - 2593, XP055627135, DOI: 10.1016/j.sigpro.2010.03.004
MANIWA HISAKAZUIWAMOTO MASAFUMIKOBAYASHI MASAAKIKIRIMOTO TETSUO: "Deinterleaving of Radar Pulse Trains Using MHT Approach", IEICE TRANSACTIONS ON COMMUNICATIONS, vol. J 84-B, no. 1, January 2001 (2001-01-01), pages 116 - 123
H. ATTIAS: "Learning parameters and structure of latent variable models by variational Bayes", PROC. UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, 1999
C. M. BISHOP: "Pattern Recognition and Machine Learning", 2006, SPRINGER
See also references of EP 3647809A4
Attorney, Agent or Firm:
TAZAWA, Hideaki et al. (JP)
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