OVERLAP-SAVE FBMC RECEIVER
    162.
    发明申请

    公开(公告)号:US20200322196A1

    公开(公告)日:2020-10-08

    申请号:US16754741

    申请日:2018-10-11

    Abstract: An FBMC equalization and demodulation unit and corresponding method to process an FBMC signal includes FBMC symbols, each FBMC symbol comprising data mapped over M subcarriers, oversampled by a factor K, filtered by a prototype filter and transposed in the time-domain, comprising: a frequency domain transposition unit, configured to transpose a block of P*KM samples comprising at least one FBMC symbol into frequency domain samples, where P is an integer greater than one, an equalizer unit configured to multiply the frequency domain samples by one or more coefficients computed from a propagation channel estimate, at least one circular convolution unit, configured to perform P circular convolutions between subsets of the equalized samples and a frequency domain response of a frequency shifted version of the prototype filter, and adders, to sum corresponding outputs of each of the P circular convolutions.

    DESCRIPTOR LEARNING METHOD FOR THE DETECTION AND LOCATION OF OBJECTS IN A VIDEO

    公开(公告)号:US20200210774A1

    公开(公告)日:2020-07-02

    申请号:US16621643

    申请日:2018-06-08

    Abstract: The present invention relates to a method for learning class descriptors for the detection and the automatic location of objects in a video, each object belonging to a class of objects from among a set of classes, the method using: a learning base, composed from reference videos and containing annotated frames each comprising one or more labels identifying each object detected in the frames, descriptors associated with these labels and learned previously by a preprocessing neural network from the annotated frames of the learning base, an architecture of neural networks defined by parameters centralized on a plurality of parameter servers, and a plurality of computation entities working in parallel, a method in which, for each class of objects, one of the neural networks of the architecture is trained by using as input data the descriptors and the labels to define class descriptors, each computation entity using, for the computation of the class descriptors, a version of the parameters of the parameter server on which the entity depends, and returning to this parameter server the parameters updated at the end of its computation, and the parameter servers exchanging with one another the parameters of each computation entity for the training of the neural networks for each class descriptor.

    METHOD FOR LOCATING A RECEIVER WIHTIN A POSITIONING SYSTEM

    公开(公告)号:US20180341025A1

    公开(公告)日:2018-11-29

    申请号:US15735675

    申请日:2016-06-21

    Abstract: A method for locating at least one receiver within a positioning system, the system including: at least two transmitters, each transmitter emitting a signal including a carrier modulated by a code, and a receiver that is movable and configured to detect the signals, method in which: during the movement of the receiver from an estimated predefined initial position, consecutive measurements are taken of the phase of the carrier of the signal emitted by each transmitter, for various subsequent positions of the receiver, the variations in the phase of the carrier of the signals between each subsequent position of the receiver for which the phase was measured and the estimated initial position of the receiver is calculated for each transmitter, and these phase variations are used to calculate the variation in distance between the receiver and the transmitters, in order to determine the real initial position of the receiver.

    Method for selecting modes for transmission over multimode or multicore optical fibres

    公开(公告)号:US10122461B2

    公开(公告)日:2018-11-06

    申请号:US15508775

    申请日:2015-09-04

    Abstract: The invention relates to a mode selection method for a system for MIMO transmission on an optical fiber of multimode type. It comprises a step of measuring the transfer matrix of the transmission channel made up of a set of modes of the optical fiber (110), a step of transforming (120) the transfer matrix into a block diagonal matrix, each block being associated with a mode subset, a step of determining (130) the gain and/or the transmission capacity for each of the mode subsets, and a selection (140) of the mode subset corresponding to the highest gain and/or capacity, the MIMO transmission system then using only the modes of the subset thus selected to transmit on the optical fiber.The invention relates also to a core selection method for a system for MIMO transmission on optical fiber of multicore type.

    SEQUENTIAL DECODING WITH STACK REORDERING
    167.
    发明申请

    公开(公告)号:US20180145852A1

    公开(公告)日:2018-05-24

    申请号:US15580141

    申请日:2016-06-07

    Abstract: There is provided a decoder (310) for sequentially decoding a data signal received through a transmission channel in a communication system, the received data signal carrying transmitted symbols, the decoder comprising a symbol estimation unit (311) configured to determine estimated symbols representative of the transmitted symbols carried by the received signal from information stored in a stack, the stack being filled by iteratively expanding child nodes of a selected node of a decoding tree comprising a plurality of nodes, each node of the decoding tree corresponding to a candidate component of a symbol of the received data signal and each node being associated with a predetermined metric, the stack being filled at each iteration with at least some of the expanded child nodes and being ordered by increasing values of the metrics associated with the nodes, the selected node for each iteration corresponding to the node having the lowest metric in the stack. The decoder further comprises a stack reordering activation monitoring unit (313) configured to monitor at least one stack reordering activation condition and, in response to a stack reordering activation condition being verified, to cause the symbol estimation unit to: reduce the metric associated with each node stored in the stack by a quantity, reorder the stack by increasing value of the reduced metric, and remove a set of nodes from the reordered stack so as to maintain a number N of nodes in the reordered stack, the maintained nodes corresponding to the N nodes having the lowest metrics in the reordered stack.

    CONFIGURABLE MULTIBAND ANTENNA ARRANGEMENT AND DESIGN METHOD THEREOF

    公开(公告)号:US20180053999A1

    公开(公告)日:2018-02-22

    申请号:US15674173

    申请日:2017-08-10

    Abstract: The invention discloses an antenna arrangement and a method of designing the same, the antenna arrangement being tuned to radiate in a plurality of bands. The antenna arrangement comprises a first conductive element which has a compact linear 2D or 3D form factor. It also comprises leaves attached to the first conductive element, the position, dimension, form factor and orientation of which are defined based on their impact on frequency shifts of the fundamental and harmonic modes, so that the antenna arrangement radiates at a plurality of predefined frequencies. The design method uses maps of hot areas where the sensitivity to the parameters defined for the leaves is maximal. Advantageously, the design method is performed in a manner which uses an orthogonality of the impacts of the parameters of the leaves vis-à-vis the different radiating modes. The antenna arrangement is compact and well adapted to applications to the IoT and consumer communication devices.

    Reordered sub-block decoding
    169.
    发明授权

    公开(公告)号:US09819404B2

    公开(公告)日:2017-11-14

    申请号:US15389765

    申请日:2016-12-23

    Abstract: Embodiments of the invention provide a decoder for decoding a signal represented by a vector of information symbols received through a transmission channel in a communication system, said the transmission system being represented by a channel state matrix, said information symbols being selected from a given set of values carrying a set of information bits, wherein said decoder comprises: a division unit (202) configured to divide the channel state matrix into a number of sub-blocks of column vectors, in accordance with a division of said vector of information symbols into a number of sub-vectors; a permutation unit (203) configured to determine a set of permuted channel state matrices by permuting said sub-blocks of column vectors, the permutation unit (203) being further configured to select at least one permuted channel state matrix among said set of permuted channel state matrices according to a selection criterion; a sub-block decoding unit (207) configured to determine a transformed signal from said signal and said at least one permuted channel state matrix and determine at least one estimate of each sub-vector of information symbols from said transformed signal by applying at least one iteration of a decoding algorithm; The decoder being configured to determine at least one estimate of a vector of transmitted information symbols from said at least one estimate of each sub-vector of information symbols.

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