公开(公告)号：US20230057413A1

公开(公告)日：2023-02-23

申请号：US17797902

申请日：2021-02-02

Applicant: FONDATION B-COM

Inventor： Luc LE MAGOAROU ,  Stéphane PAQUELET

IPC: H04L27/26 ,  H04L25/02

Abstract: A method of determining a pilot sequence comprising a plurality of pilot vectors to be transmitted in a communication channel modeled by a model vector including a complex-valued function variable as a function of real parameters and descriptive of a transmission from a transmission to a reception antenna through the communication channel, includes: determining an orthogonal basis of a real vector space that is the image of a matrix having respectively as columns the partial derivatives of the model vector with respect to the different real parameters; constructing the pilot vectors using the determined orthogonal basis, by grouping the orthogonal vectors of the orthogonal base in pairs and by producing, for each pair including first and second vectors, a pilot vector by summing the first vector and the product of the second vector by an imaginary number. A pilot sequence determining device and program are also disclosed.

公开(公告)号：US20250047337A1

公开(公告)日：2025-02-06

申请号：US18720479

申请日：2022-12-06

Applicant: FONDATION B-COM

Inventor： Luc LE MAGOAROU ,  Stéphane PAQUELET

IPC: H04B7/0456

Abstract: The present invention relates to a method for determining pre-coding weights (w) based on a position vector (I) representing the position of a communication terminal within a communication system, said method being implemented by way of an artificial neural network (NN), the method comprising a step of determining the pre-coding weights (w) by way of the artificial neural network (NN) receiving the position vector (I) at input and supplying the pre-coding weights (w) at output. A transmission method, a device for determining pre-coding weights, a transmission device and a computer program are also described.

公开(公告)号：US20240201313A1

公开(公告)日：2024-06-20

申请号：US18554936

申请日：2022-04-14

Applicant: FONDATION B-COM

Inventor： Luc LE MAGOAROU

IPC: G01S5/02

CPC classification number: G01S5/0284 ,  G01S5/0269

Abstract: A method for relative positioning of electronic apparatuses in communication with a communication device establishing a set of communication channels through which the device exchanges electromagnetic signals with each electronic apparatus includes, for each electronic apparatus, estimating a vector for which the elements represent, respectively, transmission through the communication channels between the device and the respective electronic apparatus, for at least first and second electronic apparatuses, determining a minimum distance from the distances existing, for all possible phase-shift values, between a first vector having a predetermined norm which is colinear to the vector estimated for the first electronic apparatus, and a second vector having the predetermined norm which is colinear to the vector estimated for the second electronic apparatus and modified by applying a phase shift having a value among the possible values, and determining a position indicator for the first electronic apparatus based on the determined distance.

公开(公告)号：US20230188385A1

公开(公告)日：2023-06-15

申请号：US17921481

申请日：2021-04-14

Applicant: FONDATION B-COM

Inventor： Luc LE MAGOAROU ,  Stéphane PAQUELET

IPC: H04L25/02 ,  G06N3/08

CPC classification number: H04L25/0254 ,  G06N3/08

Abstract: Disclosed is a device for estimating a channel for communication system, which includes: a construction module designed to construct, on the basis of a physical model, a set of vectors) associated with a plurality of values of at least one parameter; an initialization module designed to initialize, as a function of the constructed vectors), columns of weighting coefficients defining at least a part of an artificial neural network; an application module designed to apply, as an input to the part of the artificial neural network, a vector determined as a function of noisy values so as to produce as an output a vector including estimated values; and a module for updating the weighting coefficients of the part of the artificial neural network by a learning technique. An associated method and computer program are also described.