WO2024143069A1 - 推定装置、推定方法及びプログラム - Google Patents

推定装置、推定方法及びプログラム Download PDF

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Publication number
WO2024143069A1
WO2024143069A1 PCT/JP2023/045511 JP2023045511W WO2024143069A1 WO 2024143069 A1 WO2024143069 A1 WO 2024143069A1 JP 2023045511 W JP2023045511 W JP 2023045511W WO 2024143069 A1 WO2024143069 A1 WO 2024143069A1
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WO
WIPO (PCT)
Prior art keywords
transfer function
complex transfer
unit
antenna elements
transmitting antenna
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2023/045511
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English (en)
French (fr)
Japanese (ja)
Inventor
翔一 飯塚
武司 中山
信之 白木
尚樹 本間
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Panasonic Intellectual Property Management Co Ltd
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Panasonic Intellectual Property Management Co Ltd
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Publication date
Application filed by Panasonic Intellectual Property Management Co Ltd filed Critical Panasonic Intellectual Property Management Co Ltd
Priority to CN202380088768.6A priority Critical patent/CN120418687A/zh
Priority to JP2024567657A priority patent/JP7769942B2/ja
Publication of WO2024143069A1 publication Critical patent/WO2024143069A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/06—Systems determining position data of a target
    • G01S13/42—Simultaneous measurement of distance and other co-ordinates
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00

Definitions

  • This disclosure relates to an estimation device and an estimation method for estimating the distance or position of a living body using a wireless signal.
  • Patent Documents 1 to 4 Methods that use radio signals to determine a person's location are being considered (see, for example, Patent Documents 1 to 4).
  • Patent Documents 1, 2, and 3 disclose technology that uses differential calculations to analyze components that include Doppler shifts to estimate the location and state of a person to be detected.
  • Patent Documents 4 and 5 disclose Doppler sensors that use OFDM (Orthogonal Frequency Division Multiplexing) signals.
  • OFDM Orthogonal Frequency Division Multiplexing
  • Patent Document 3 discloses an OFDM Doppler radar that transmits pulses using OFDM signals and detects the Doppler shift caused by a target moving object.
  • Patent Document 4 also discloses a high-speed processing method for OFDM Doppler radar that does not require a Fourier transform.
  • Each singular value vector obtained in this manner represents the propagation path of each of the multiple transmission signals between the transmitting antenna unit 111 and the receiving antenna unit 21, and the left singular vector u 1 (t) and the right singular vector v 1 (t) corresponding to the maximum singular value correspond to the propagation of a direct wave between the transmitting antenna unit 111 and the receiving antenna unit 21.
  • the second complex transfer function matrix h' received by the frequency phase correction unit 125 is expressed by the following equation 4.
  • the matrix transformation unit 128 extracts any one row and any one column from the third complex matrix, rearranges the extracted one row and one column as a vector, and calculates a first complex transfer function vector h v .
  • h v when the first row and the first column are extracted is expressed by Equation 12.
  • E[ ⁇ ] in Equation 14 indicates the average calculation in the column direction, i.e., for each transmitting antenna, in the frequency direction that may include biological influence, and m indicates the index number of the transmitting antenna, from 1 to M.
  • the estimation unit 130 can calculate the third distance by calculating l at which the MUSIC spectrum P MUSIC (l, ⁇ ) has a maximum value, and can estimate the first angle by calculating ⁇ at which the MUSIC spectrum P MUSIC (l, ⁇ ) has a maximum value. In this way, the estimation unit 130 estimates the third distance, which is the sum of the first distance and the second distance between the transmitting antenna unit 111 and the living body 50, and the first angle, which is the direction of the living body 50 as seen from the transmitting antenna element, using the living body correlation matrix calculated for each of the S subcarriers.
  • the position of the living body 50 is on the circumference of the ellipse 1203, and further, the first angle ⁇ , which is the angle from the transmitting antenna unit 111, is determined, so that the position of the living body 50 is determined to be one point on the circumference of the ellipse 1203.
  • the first angle ⁇ which is the angle from the transmitting antenna unit 111
  • the positioning unit 131 calculates the coordinates (x, y) of the living body 50 using the first distance a and the first angle ⁇ according to the following formula 18.
  • the estimation unit 130 can improve the estimation accuracy of the third distance or the first angle by performing singular value decomposition or eigenvalue decomposition of the third complex transfer function matrix h'' and performing beamforming in a specific direction as shown in Equation 2 and Equation 3.
  • FIG. 9 is a flowchart showing the estimation process of the estimation device 100 in this embodiment.
  • the estimation device 100 transmits a multicarrier signal including S subcarrier signals from M transmitting antenna elements (S1000).
  • the estimation device 100 receives the multicarrier signal transmitted in step S1000 using one or more receiving antenna elements (S1100).
  • the estimation device 100 calculates a first complex transfer function matrix h from the received multicarrier signal (S1200).
  • the estimation device 100 corrects the asynchronous components of the calculated first complex transfer function matrix h to calculate the second complex transfer function matrix h' (S1300).
  • the estimation apparatus 100 calculates the frequency phase correction value h cal1 based on the second complex transfer function matrix h' (S1400).
  • the estimation device 100 calculates an M x N biocorrelation matrix for each of the S subcarriers by extracting components related to the biometric element from the third complex transfer function matrix h'' (S1700).
  • the estimation device 100 estimates the position of the living body 50 based on the third distance L and the first angle ⁇ (S1900).
  • the coordinates of a living body can be estimated using an estimation device having a MISO or SIMO configuration.
  • the present disclosure makes it possible to realize an estimation device and estimation method that can estimate the distance and position of a living body using wireless signals in a short time and with high accuracy.
  • a positioning sensor and a distance estimation method according to one aspect of the present disclosure have been described above based on an embodiment, but the present disclosure is not limited to these embodiments. As long as they do not deviate from the spirit of the present disclosure, various modifications conceivable by a person skilled in the art to this embodiment, or forms constructed by combining components in different embodiments, are also included within the scope of the present disclosure.
  • distance estimation and position estimation of a living body 50 are described as an example, but the present invention is not limited to a living body 50.
  • the present invention can be applied to various moving objects (machines, etc.) that exert a Doppler effect on the reflected wave due to their activity.
  • each component may be configured with dedicated hardware, or may be realized by executing a software program suitable for each component.
  • Each component may be realized by a program execution unit such as a CPU or processor reading and executing a software program recorded on a recording medium such as a hard disk or semiconductor memory.
  • the present disclosure can be realized not only as a positioning sensor having such characteristic components, but also as an estimation method in which the characteristic components included in the positioning sensor are steps. It can also be realized as a computer program that causes a computer to execute each of the characteristic steps included in such a method. And it goes without saying that such a computer program can be distributed on a non-transitory computer-readable recording medium such as a CD-ROM or via a communication network such as the Internet.
  • the present disclosure can be used in positioning sensors and distance estimation methods that use wireless signals to estimate the distance and position of a living body, and in particular in distance sensors and direction estimation methods that are mounted on measuring devices that measure the distance and position of a living body, including between a living body and a machine, home appliances that perform control according to the distance and position of a living body, and monitoring devices that detect the intrusion of a living body.

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Medical Informatics (AREA)
  • Dentistry (AREA)
  • Biophysics (AREA)
  • Physiology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Radar Systems Or Details Thereof (AREA)
  • Variable-Direction Aerials And Aerial Arrays (AREA)
PCT/JP2023/045511 2022-12-27 2023-12-19 推定装置、推定方法及びプログラム Ceased WO2024143069A1 (ja)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202380088768.6A CN120418687A (zh) 2022-12-27 2023-12-19 估计装置、估计方法以及程序
JP2024567657A JP7769942B2 (ja) 2022-12-27 2023-12-19 推定装置、推定方法及びプログラム

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2022-209282 2022-12-27
JP2022209282 2022-12-27

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WO2024143069A1 true WO2024143069A1 (ja) 2024-07-04

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CN (1) CN120418687A (https=)
WO (1) WO2024143069A1 (https=)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106054156A (zh) * 2016-06-22 2016-10-26 中国人民解放军第四军医大学 一种基于uwb mimo生物雷达的静止人体目标识别与定位方法
JP2020008548A (ja) * 2018-07-03 2020-01-16 パナソニックＩｐマネジメント株式会社 推定装置および推定方法
JP2020505179A (ja) * 2017-02-03 2020-02-20 ユニバーシティ・オブ・ノートル・ダム・デュ・ラック コヒーレント信号分散を用いた心臓および肺の監視
JP2020109387A (ja) * 2018-12-28 2020-07-16 パナソニックＩｐマネジメント株式会社 推定方法および推定装置
JP2020109389A (ja) * 2018-12-28 2020-07-16 パナソニックＩｐマネジメント株式会社 推定方法、推定装置およびプログラム

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106054156A (zh) * 2016-06-22 2016-10-26 中国人民解放军第四军医大学 一种基于uwb mimo生物雷达的静止人体目标识别与定位方法
JP2020505179A (ja) * 2017-02-03 2020-02-20 ユニバーシティ・オブ・ノートル・ダム・デュ・ラック コヒーレント信号分散を用いた心臓および肺の監視
JP2020008548A (ja) * 2018-07-03 2020-01-16 パナソニックＩｐマネジメント株式会社 推定装置および推定方法
JP2020109387A (ja) * 2018-12-28 2020-07-16 パナソニックＩｐマネジメント株式会社 推定方法および推定装置
JP2020109389A (ja) * 2018-12-28 2020-07-16 パナソニックＩｐマネジメント株式会社 推定方法、推定装置およびプログラム

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CN120418687A (zh) 2025-08-01
JP7769942B2 (ja) 2025-11-14
JPWO2024143069A1 (https=) 2024-07-04

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