Method and apparatus for modulation recognition of signals based on cyclic residual network

    公开(公告)号:US11909563B2

    公开(公告)日:2024-02-20

    申请号:US17440120

    申请日:2020-07-30

    CPC classification number: H04L25/0254 G06N3/045 G06N3/08 H04L27/0012

    Abstract: The embodiments of the present application provide a method and apparatus for modulation recognition of signals based on cyclic residual network, the method comprises: obtaining a signal matrix of a to-be-recognized signal, and extracting real part information and imaginary part information of the signal matrix; generating, according to extracted real part information and imaginary part information, a real-and-imaginary-part feature matrix of the to-be-recognized signal; converting, according to a preset matrix conversion method, the real-and-imaginary-part feature matrix into an amplitude-and-phase feature matrix; and inputting the amplitude-and-phase feature matrix into a pre-trained cyclic residual network to obtain a modulation mode corresponding to the to-be-recognized signal. In the embodiments of the present application, the processing of the to-be-recognized signal is simple and easy to operate, in which neither complex algorithms nor manual processing is required, the flexibility of recognition is high, and the result of modulation recognition of the to-be-recognized signal can be accurately obtained.

    Method and apparatus for classifying mixed signals, and electronic device

    公开(公告)号:US11816180B2

    公开(公告)日:2023-11-14

    申请号:US17602692

    申请日:2020-03-10

    CPC classification number: G06F18/2135 G06F2218/12

    Abstract: Disclosed is a method for classifying mixed signals, comprising: receiving mixed signals; performing calculation on a matrix corresponding to the mixed signals by means of a preset Principal Component Analysis method to obtain to-be-classified mixed signals and to determine the number of types of signals contained in the to-be-classified mixed signals; determining a separation matrix based on the number of types of signals contained in the to-be-classified mixed signals; separating individual signals in the to-be-classified mixed signals by means of the separation matrix to obtain to-be-identified signals; calculating a preset number of high-order cumulants corresponding to each to-be-identified signal in the to-be-identified signals respectively; taking the calculated high-order cumulants as characteristics of the to-be-identified signal corresponding to the high-order cumulants respectively; inputting the characteristics of the to-be-identified signal into a preset classification model; and obtaining a modulation mode of the to-be-identified signal. The method according to the embodiment of the present application imposes no requirements on the classification environment, which is different from the prior arts in which the mixed signals can be classified only when certain conditions are met. Therefore, the method has universal applicability.

    Method and apparatus for handover between heterogeneous networks

    公开(公告)号:US11432211B2

    公开(公告)日:2022-08-30

    申请号:US17267717

    申请日:2018-09-29

    Abstract: Disclosed are a method and an apparatus for handover between heterogeneous networks. The method comprises: obtaining, for each of a plurality of candidate networks, parameters of the candidate network including a packet loss rate and a network load, and taking the obtained parameters as decision parameters of the candidate network; obtaining each of preset service types and a preset weight factor for at least one user preference corresponding to the preset service type; calculating weights of decision parameters for each preset service type by using the decision parameters of the candidate network and through an Analytic Hierarchy Process, and determining a weight vector for the preset service type; adjusting the weight vector for each preset service type by using the preset weight factor; calculating, using the weight vector and through an intuitionistic trapezoidal fuzzy multi-attribute decision-making algorithm, a score for each of the candidate networks, determining the candidate network with the highest score as a target network, and triggering a handover.

    TIME ALLOCATION METHOD, EQUIPMENT, DEVICE, AND STORAGE MEDIUM BASED ON AN ON-BOARD DEVICE

    公开(公告)号:US20230370877A1

    公开(公告)日:2023-11-16

    申请号:US18030236

    申请日:2021-08-30

    CPC classification number: H04W24/08 H04W72/0446

    Abstract: Embodiments of the present application provide a time allocation method, device, device, and storage medium based on an on-board device. The method includes; constructing a target function of a plurality of on-board devices; determining the plurality of time allocation ratios contained in the value set, in the order from small to large, as the time allocation ratio to be tested respectively; inputting the determined time allocation ratio to be tested into the target function of the plurality of on-board devices, obtaining a target function value of each on-board device; judging whether the target function value of the on-board device satisfies both a preset condition, and the first constraint corresponding to the on-board device; if the result of the judgment is negative, returning to execute the step of determining the plurality of time allocation ratios contained in the value set, in the order from small to large, as the time allocation ratio to be tested respectively; if the result of the judgment is positive, determining the current time allocation ratio to be tested as a time allocation result of the on-board device.

    Clustering-based frequency deviation determination and elimination method and device, and electronic apparatus

    公开(公告)号:US11218354B2

    公开(公告)日:2022-01-04

    申请号:US17270176

    申请日:2019-08-16

    Abstract: Clustering-based methods, apparatuses for frequency offset determination and elimination and electronic devices are disclosed. The clustering-based method for frequency offset determination includes: determining a constellation diagram for a received signal; determining N different values within a preset frequency interval, as N frequency offset estimates for a frequency offset of the received signal; for each of the frequency offset estimates, correcting the constellation diagram based on the frequency offset estimate to obtain a corrected constellation diagram, clustering signal points on the corrected constellation diagram, and calculating an area of a signal region in the corrected constellation diagram after clustering; and determining a frequency offset estimate corresponding to a signal region with a minimum area as a value of the frequency offset. The embodiments of the present invention can improve the accuracy and stability of the calculated value of the frequency offset.

    SENSING AND COMMUNICATION INTEGRATED SYSTEM BASED ON MOBILE COMMUNICATION SIGNAL

    公开(公告)号:US20230288528A1

    公开(公告)日:2023-09-14

    申请号:US18003764

    申请日:2021-07-22

    Abstract: The invention relates to an integrated sensing and communication system based on a mobile communication signal, belonging to the field of wireless communication. In this system, a synchronization sequence embedding module is added at a sending end of a node, which is configured for embedding a primary synchronization sequence and a secondary synchronization sequence into a radio frequency signal to be sent and then outputting the radio frequency signal to a digital modulation module; a primary synchronization sequence-assisted ranging accuracy improvement algorithm module and a secondary synchronization sequence-assisted speed measurement accuracy improvement algorithm module is newly added at a receiving end of a node; a target node range and a target node speed output by a two-dimensional range-Doppler radar processing algorithm module are compensated by using the autocorrelation characteristics of the primary/secondary synchronization sequences in a synchronization broadcast block to obtain more accurate target node range and target node speed. The invention effectively improves the sensing accuracy of the existing OFDM integrated system based on fixed frame structure, improves the accuracy of identifying the target node's motion information, and maximizes the sensing ability through flexible deployment of subcarriers to improve the node's own environmental adaptability.

    METHOD AND APPARATUS FOR MODULATION RECOGNITION OF SIGNALS BASED ON CYCLIC RESIDUAL NETWORK

    公开(公告)号:US20220191066A1

    公开(公告)日:2022-06-16

    申请号:US17440120

    申请日:2020-07-30

    Abstract: The embodiments of the present application provide a method and apparatus for modulation recognition of signals based on cyclic residual network, the method comprises: obtaining a signal matrix of a to-be-recognized signal, and extracting real part information and imaginary part information of the signal matrix; generating, according to extracted real part information and imaginary part information, a real-and-imaginary-part feature matrix of the to-be-recognized signal; converting, according to a preset matrix conversion method, the real-and-imaginary-part feature matrix into an amplitude-and-phase feature matrix; and inputting the amplitude-and-phase feature matrix into a pre-trained cyclic residual network to obtain a modulation mode corresponding to the to-be-recognized signal. In the embodiments of the present application, the processing of the to-be-recognized signal is simple and easy to operate, in which neither complex algorithms nor manual processing is required, the flexibility of recognition is high, and the result of modulation recognition of the to-be-recognized signal can be accurately obtained.

    Methods for beam tracking and methods for generating a codebook

    公开(公告)号:US11283495B2

    公开(公告)日:2022-03-22

    申请号:US17393068

    申请日:2021-08-03

    Abstract: Disclosed are methods for beam tracking. In the methods, a transmitting unmanned aerial vehicle (UAV) receives motion state information (MSI) of a receiving UAV and determines a first beam angle from the transmitting UAV to the receiving UAV according to the MSI of the receiving UAV. Then the transmitting UAV selects a codeword from a codebook according to the first beam angle. Finally, the transmitting UAV determines an activated sub-array and a beam-forming vector of the CCA according to the size of the activated sub-array corresponding to the sub-codebook to which the codeword belongs, a second beam angle corresponding to the codeword and a location of a central antenna element of an activated sub-array corresponding to the codeword and transmits information using the beam-forming vector. One or more examples of the present disclosure also provide a method for beam tracking implemented by the receiving UAV, methods for generating a codebook.

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