公开(公告)号：WO2021198729A1

公开(公告)日：2021-10-07

申请号：PCT/IB2020/053055

申请日：2020-03-31

Applicant: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

Inventor： YASINI, Sholeh ,  WIGREN, Torbjörn

IPC: G01S5/00 ,  G01S5/02 ,  G01S11/04 ,  G01S5/12 ,  G01S13/765 ,  G01S3/14 ,  G01S5/0081 ,  G01S5/017 ,  G01S5/0258 ,  G01S5/02685 ,  G01S5/0269 ,  G01S5/0278 ,  G01S5/0294 ,  G08G5/0013 ,  G08G5/0026 ,  G08G5/006 ,  G08G5/0069 ,  G08G5/0082

Abstract: According to certain embodiments, a method for use in a network node comprises: obtaining range information for a wireless device in communication with the network node; obtaining direction information for the wireless device; and estimating a movement of the wireless device based on the range information, the direction information, and an interactive multiple modeling (IMM) filter. The IMM filter comprises a three-dimensional (3D) constant velocity model, a 3D constant acceleration model, and a 3D constant position model.

公开(公告)号：WO2023281506A2

公开(公告)日：2023-01-12

申请号：PCT/IL2022/050723

申请日：2022-07-06

Applicant: INTRAPOSITION LTD.

Inventor： SHAVIT, Yaron

IPC: G01S5/00 ,  G01S5/02 ,  G01S2205/02 ,  G01S5/01 ,  G01S5/0244 ,  G01S5/0268 ,  G01S5/0278 ,  G01S5/06 ,  G01S5/14

Abstract: An indoor location system and respective method are described. The system comprising one or more tag units associated with one or more items to be located, and one or more anchor units positioned within a selected indoor space and a control unit. The control unit comprises at least one processor and memory and connectable to receive location signal data comprising at least one of time-of-arrival data and signal strength data, and for processing said location signal data and determining data on room-level location of said one or more tag units.

公开(公告)号：WO2021228619A1

公开(公告)日：2021-11-18

申请号：PCT/EP2021/061664

申请日：2021-05-04

Applicant: THALES

Inventor： SEUTE, Hugo ,  LACROIX, Marguerite ,  BREUIL, Nicolas

IPC: G01S5/02 ,  G01S7/02 ,  G01S7/24 ,  G01S7/12 ,  G01S5/02695 ,  G01S5/0278 ,  G01S7/021

Abstract: Méthode, mise en œuvre par ordinateur, de génération d'une carte de probabilité, pour un porteur, d'être détecté par au moins un système de détection ayant une portée maximale de détection prédéfinie ρ, la méthode comprenant les étapes de : Déterminer (101) une probabilité de présence d'au moins un système de détection en fonction de sa position, Pour chaque point M d'une zone géographique donnée, intégrer la probabilité de présence sur un disque de centre M et de rayon égal à la portée maximale ρ. Générer (102), en chaque point M, une probabilité d'être détecté par au moins un système de détection égale au résultat de l'intégration précédente.

公开(公告)号：WO2021191262A1

公开(公告)日：2021-09-30

申请号：PCT/EP2021/057545

申请日：2021-03-24

Applicant: ASSA ABLOY AB

Inventor： HANSSON, Magnus ,  ELFSTRÖM, Jan ,  JOHANSSON, Mikael

IPC: G01S5/02 ,  G01S5/0252 ,  G01S5/0278

Abstract: It is provided a method for enabling determination of proximity of a mobile device (2a, 2b) to a beacon device (3a). The method is performed by a proximity determiner (1) and comprises the steps of: determining a set of beacon devices (3a-e) being detectable from the mobile device; obtaining beacon measurements of one or two beacon devices in each pair; generating a two-dimensional graph based on the beacon measurements; obtaining device measurements of signal strength of beacons from the beacon devices in the set of beacon devices; finding an optimum in a space defined by the two- dimensional graph; and determining the most probable position of the mobile device in the graph based on the optimum.

公开(公告)号：WO2022241350A1

公开(公告)日：2022-11-17

申请号：PCT/US2022/071286

申请日：2022-03-23

Applicant: QUALCOMM INCORPORATED

Inventor： GOPALAKRISHNAN, Sooryanarayanan ,  SUNDARARAJAN, Jay Kumar ,  MANOLAKOS, Alexandros ,  BHUSHAN, Naga ,  YOO, Taesang ,  MUKKAVILLI, Krishna Kiran ,  DUAN, Weimin ,  JI, Tingfang

IPC: H04B17/27 ,  H04W64/00 ,  G01S5/0036 ,  G01S5/0278 ,  G06N3/00

Abstract: Disclosed are techniques for positioning. In an aspect, a network node receives, from a network entity, one or more parameters for a neural network, performs one or more measurements of at least one reference signal from a target user equipment (UE) based on a measurement configuration for the at least one reference signal, generates one or more statistics of one or more features of the at least one reference signal based on the neural network and the one or more measurements, and reports the one or more statistics to the network entity to enable the network entity to estimate a location of the target UE based on the one or more statistics and a location of the network node.

公开(公告)号：WO2022155244A2

公开(公告)日：2022-07-21

申请号：PCT/US2022/012176

申请日：2022-01-12

Applicant: IDAC HOLDINGS, INC.

Inventor： HASEGAWA, Fumihiro ,  RAO, Jaya ,  NARAYANAN THANGARAJ, Yugeswar Deenoo ,  EL HAMSS, Aata ,  HOANG, Tuong ,  MARINIER, Paul ,  LEE, Moon IL ,  PELLETIER, Ghyslain

IPC: G01S5/02 ,  G01S5/0236 ,  G01S5/0263 ,  G01S5/0278

Abstract: The disclosure pertains to methods and apparatus for using artificial intelligence and machine learning for positioning of nodes (e.g., wireless transmit/receive units (WTRUs)) in wireless communications. In an example, a method implemented by a WTRU for wireless communications includes receiving configuration information indicating a plurality of positioning methods and a threshold, determining a respective weight for each of the plurality of positioning methods, and sending the respective weights for the plurality of positioning methods based on determining that at least one of the respective weights is greater than the threshold and/or after a preconfigured time period.

公开(公告)号：WO2022047410A2

公开(公告)日：2022-03-03

申请号：PCT/US2021/048511

申请日：2021-08-31

Applicant: QUALCOMM INCORPORATED

Inventor： BEHBOODI, Arash ,  GHAZVINIAN ZANJANI, Farhad ,  SORIAGA, Joseph Binamira ,  FERRARI, Lorenzo ,  AMJAD, Rana Ali ,  WELLING, Max ,  YOO, Taesang

IPC: G01S5/02 ,  G06N3/08 ,  G01S5/0273 ,  G01S5/0278 ,  G06N20/00 ,  G06N3/088 ,  H04B17/391 ,  H04B7/0626 ,  H04B7/086 ,  H04W64/006

Abstract: A method of training an artificial neural network (ANN), receives, from a base station, signal information for a radio frequency signal between the base station and a user equipment (UE). The artificial neural network is trained to determine a location of the UE and to map the environment based on the received signal information and in the absence of labeled data.

公开(公告)号：WO2022031661A1

公开(公告)日：2022-02-10

申请号：PCT/US2021/044289

申请日：2021-08-03

Applicant: QUALCOMM INCORPORATED

Inventor： SUNDARARAJAN, Jay Kumar ,  YOO, Taesang ,  BHUSHAN, Naga ,  VITTHALADEVUNI, Pavan Kumar ,  NAMGOONG, June ,  MUKKAVILLI, Krishna Kiran ,  JI, Tingfang

IPC: G01S5/00 ,  G01S5/02 ,  G06N3/04 ,  H04W64/00 ,  G01S5/0027 ,  G01S5/0236 ,  G01S5/0278 ,  G06F1/12 ,  G06K9/6232 ,  G06N3/0454 ,  G06N3/08

Abstract: In an aspect, a BS obtains at least one neural network function configured to facilitate a UE to derive a likelihood of at least one set of positioning measurement features being present at a candidate set of positioning estimates for the UE, the at least one neural network function being generated dynamically based on machine-learning associated with one or more historical measurement procedures. The BS transmits the at least one neural network function to the UE. In another aspect, the UE obtains positioning measurement data associated with a location of the UE (e.g., locally the UE, or remotely from the BS). The UE determines a positioning estimate for the UE based at least in part upon the positioning measurement data and the at least one neural network function.

公开(公告)号：WO2022031659A1

公开(公告)日：2022-02-10

申请号：PCT/US2021/044284

申请日：2021-08-03

Applicant: QUALCOMM INCORPORATED

Inventor： SUNDARARAJAN, Jay Kumar ,  YOO, Taesang ,  BHUSHAN, Naga ,  VITTHALADEVUNI, Pavan Kumar ,  NAMGOONG, June ,  MUKKAVILLI, Krishna Kiran ,  JI, Tingfang

IPC: G01S5/00 ,  G01S5/02 ,  G06N3/04 ,  H04W64/00 ,  G01S5/0036 ,  G01S5/0236 ,  G01S5/0278 ,  G06N3/08 ,  H04L5/0048

Abstract: In an aspect, a network component transmits, to a UE, at least one neural network function configured to facilitate processing of positioning measurement data into one or more positioning measurement features at the UE, the at least one neural network function being generated dynamically based on machine-learning associated with one or more historical measurement procedures. The UE may obtain positioning measurement data associated with the UE, and may process the positioning measurement data into a respective set of positioning measurement features based on the at least one neural network function. The UE may report the processed set of positioning measurement features to a network component, such as the BS or LMF.

公开(公告)号：WO2021030819A2

公开(公告)日：2021-02-18

申请号：PCT/US2020/062700

申请日：2020-12-01

Applicant: FUTUREWEI TECHNOLOGIES, INC.

Inventor： MOLEV-SHTEIMAN, Arkady ,  BALTI, Elyes ,  QI, Xiao-Feng

IPC: G01S5/02 ,  G01S5/14 ,  H04W64/00 ,  G01S5/0273 ,  G01S5/0278

Abstract: Location estimation for a communication device includes estimating a measured channel impulse response (CIR) associated with each of a plurality of sources based upon a reference signal, determining a time of arrival for a path for each source based upon the measured CIR, and determining combinations of the sources. A predicted location and a predicted time of departure is determined for each combination based upon a predetermined location associated with the source and the determined time of arrival. For each combination, a predicted CIR of the combination is determined based upon the predicted location and predicted time of departure, and a distance measure is determined between the measured CIR and the predicted CIR. A minimum distance from among the distance measures is determined. An estimated location of the communication device is determined based upon the predicted location of the communication device associated with the determined minimum distance.