92 results about "Signaling process" patented technology

The utility model provides a high-voltage interlocking detection system and a vehicle. The high-voltage interlocking detection system comprises a detection circuit, a plurality of signal processing modules and a control module. The detection circuit comprises a plurality of detection branches connected in series, the plurality of detection branches are correspondingly connected with the plurality of low-voltage detection connectors, and the detection branches output detection signals based on the connection states of the low-voltage detection connectors; the plurality of signal processing modules receive detection signals from the plurality of detection branches; and the control module determines the on-off state of the high-voltage interlocking loop and the connection state of the plurality of low-voltage detection connectors based on the detection signals processed by the plurality of signal processing modules. In the system, a plurality of detection branches are connected with a control module through different signal processing modules, wire harnesses are separated from one another, and a plurality of signal processing modules process a plurality of detection signals and then uniformly send the signals to the control module through a common node, so that the arrangement of the wire harnesses is reduced while reliable transmission of the signals is ensured, and the cost is reduced. And the whole circuit of the system is simplified.

An inertial measurement device includes: an inertial sensor; a first signal processing circuit; a second signal processing circuit; a first communication unit and a second communication unit configured to communicate with an external device; and a mode selection unit configured to select a processing mode from a plurality of modes including a first processing mode and a second processing mode. The first processing mode is a mode in which the inertial measurement device is used alone and outputs a signal processed by the first signal processing circuit from the first communication unit, and the second processing mode is a mode in which the inertial measurement device is used in a state of being coupled to another inertial measurement device, a first signal processed by the first signal processing circuit and a second signal from another inertial measurement device received from the second communication unit are subjected to a calculation process by the second signal processing circuit, and a signal subjected to the calculation process is output from the first communication unit.

Systems and methods are disclosed for enhancing cryptographic security in 5G networks by addressing key management, algorithm selection, and security context consistency. One method ensures uniform cryptographic key lengths during Access and Mobility Function (AMF) changes, maintaining consistent Non-Access Stratum (NAS) security contexts across transitions. Another method focuses on dual connectivity scenarios, ensuring uniform cryptographic key lengths across Master Node and Secondary Node communications by defining a unified cryptographic profile and enhancing capability signaling. Additionally, an entropy-based approach to cryptographic algorithm selection is introduced, incorporating entropy assessment into the capability signaling process. This ensures that selected cryptographic algorithms for Access Stratum (AS) and NAS layers align with the actual entropy of long-term keys, providing true security levels.

This disclosure proposed a method, which introduces a new AI, based positioning related function at a NG-RAN node to allow a UE to select between applying an AI and non-AI positioning model for UE location estimation and / or to allow the UE to select an appropriate AI model among different AI positioning models based on an indication provide by the UE. The method furtherly defines the measures based on which the AI or non-AI model can be selected for UE positioning estimation and defines the related signaling procedures that allow proper interaction between different NR positioning related node nodes.

A method includes obtaining, using a specified protocol of a radio access network, low-level signal data corresponding to a radio frequency (RF) signal processed in the radio access network; providing the low-level signal data as input to at least one machine learning network; in response to providing the low-level signal data as input to the at least one machine learning network, obtaining, as an output of the at least one machine learning network, metadata providing information on one or more characteristics of the RF signal; and controlling an operation of the radio access network based on the metadata.

The invention provides a signal processing method and a signal processing device. The signal processing method comprises the following steps: receiving and analyzing debugging data from at least one external computer through a unified data interface, and outputting a debugging instruction or capturing a network data signal to corresponding target equipment through a corresponding channel according to an analysis result; receiving heterogeneous signals from a plurality of different types of target devices, and performing preliminary conversion on at least part of the heterogeneous signals; adding channel identification information into the signal processed in the above step and performing protocol conversion to form an aggregated data stream; and outputting the aggregated data stream through the unified data interface. According to the method, multiple external target devices can be debugged at the same time, the debugging result can be output to the external computer through a unified data interface, the problems that in a traditional debugging scheme, tool switching is tedious, and the cooperation efficiency is low are solved, and the debugging efficiency and convenience of a complex system are remarkably improved.

This invention discloses a method for graded early warning of abnormal psychological states in miners. It extracts and filters features from three modal signals processed in the time domain, frequency domain, time-frequency domain, and spatial domain to obtain corresponding first target signal feature sets. Based on optimal transmission theory, the maximum mean difference algorithm, and a selected kernel function, the first target signal feature sets are aligned locally and globally to obtain second target signal feature sets. These second target signal feature sets are then mapped to a unified, preset-dimensional embedding space for comparative learning to obtain a third target signal feature set. The third target signal feature set is then weighted, summed, and input into a bidirectional long short-term memory network to obtain initial fused features. These features are then input into a GhostNet network to obtain fused features, which are then input into the psychological state recognition module of a psychological graded early warning model to determine the miner's psychological state. Finally, these features, combined with mine environment parameters, are input into the early warning grading module of the psychological graded early warning model to obtain early warning information.

This application provides a method for batch handover of user terminals in a low-Earth orbit satellite network, comprising: a source satellite-borne base station sending measurement indicators of multiple user terminals entering its edge radii to multiple neighboring satellites to a satellite-borne decision center; the satellite-borne decision center inputting the measurement indicators into a packet handover decision model, outputting packet handover decision results, and returning the packet handover decision results to the source satellite-borne base station; the source satellite-borne base station determining the target neighboring satellites to which the multiple user terminals should handover based on the packet handover decision results and initiating batch handover request messages; and each target neighboring satellite, based on the batch handover request messages, cooperating with the source satellite-borne base station and each user terminal to complete the service handover. The dedicated signaling process for batch handover and the accompanying signaling compression method designed above can significantly reduce the transmission pressure of inter-satellite links. Furthermore, by using a deep learning model to consider the complex states and constraints of multiple users and multiple satellites for joint decision-making, it can more accurately select the satellites for handover.

The embodiment of the invention provides a root cause positioning method, device and equipment for a communication network problem, and the method comprises the steps: determining a second signaling scene type corresponding to the communication network problem according to at least one first signaling scene type corresponding to the communication network problem and the signaling information corresponding to the communication network problem; the second signaling scene type is one of the at least one first signaling scene type; the at least one first signaling scene type is obtained based on signaling flow division of a communication scene to which the communication network problem belongs; and performing root cause positioning on the communication network problem according to a root cause rule of the second signaling scene type to obtain a root cause positioning result. According to the scheme, the poor-quality problem type and the sub-type divided based on the signaling process are distinguished, so that the problem positioning accuracy is greatly improved, the problem checking range is narrowed, and the problem positioning efficiency is improved.

An embodiment of the present invention provides a method and apparatus for sending process signaling, a storage medium, and an electronic device. The method includes: sending a first process signaling to a first unit, where the first process signaling is used to instruct the first unit to perform a first task to be performed; in the case of not receiving a first response message of the first process signaling, sending a second process signaling to the first unit, where the second process signaling is used to instruct the first unit to perform a second task to be performed, and the priority of the second task to be performed is higher than that of the first task to be performed. Through the present invention, the problem of the execution of the signaling process is solved, and the effect of timely processing the control process is achieved.

A data processing system (10) comprises: an on-board module (E-1,.„, E-n) configured to be boarded on a vehicle and to operate on board the vehicle; a simulation module (S-1,..., S- n) configured to simulate the behavior of a component of the vehicle; and an integration unit (16) configured to enable communication between the on-board module and the simulation module. The simulation module is configured to process signals (SS-1, SS-n) having a first format and the on-board module is configured to process signals (SH-1, SH-n) having a second format different from the first format. The integration unit is configured to: receive a first signal processed by the simulation module and having the first format; convert the first format into the second format, generating in response a second signal having the second format; and provide the second signal to the on-board module; and / or receive a third signal processed by the on-board module and having the second format; convert the second format into the first format, generating in response a fourth signal having the first format; and provide the fourth signal to the simulation module.

The invention provides a 5G NR broadcast signaling processing method and device, equipment, a medium and a product, and the method comprises the steps: obtaining the type of a target chip, and determining a signaling process of the target chip based on the type of the target chip; receiving a calling signaling of the broadcast service application layer, and inserting a process and / or deleting the process in the process corresponding to the calling signaling based on the calling signaling and the signaling process of the target chip to obtain an adjustment signaling; and sending the adjustment signaling to a protocol stack interface of the target chip. According to the invention, the workload of 5G NR broadcast service application development can be reduced.

In one aspect, the techniques described herein relate to a computer-implemented method that includes receiving, from a device associated with a Wi-Fi network, a signal. The signal may be configured to convey generational capabilities of the device to operate in the Wi-Fi network. The generational capabilities may include information on compliance of the device with wireless communication protocols of the Wi-Fi network. The method may further include determining a status of the device for operating in the Wi-Fi network based on the generational capabilities of the device included the signal and configuring one or more parameters for communicating with the device in the Wi-Fi network according to the status of the device. The method may further include communicating with the device using the one or more parameters.

There is disclosed a method of operating a user equipment in a radio access network. The method includes transmitting acknowledgement signaling based on a feedback configuration, the feedback configuration being selected from a set of configured acknowledgement configurations. The disclosure also pertains to related methods and devices.

The invention provides a satellite load equivalent device-based contact signal adaptive testing device, which comprises a contact signal conditioning circuit and application software, and is characterized in that the contact signal conditioning circuit comprises a shaping module and a measuring module and can adaptively process various types of contact signals; after being conditioned by the shaping module and the measuring module, a signal to be measured becomes a signal which can be identified by application software. The contact signal conditioning circuit is used for shaping and conditioning a to-be-measured contact quantity signal; and the application software is used for measuring the signal processed by the contact signal conditioning circuit and displaying a measurement result. According to the invention, the problem of poor adaptability to different types of contact quantity signals in the process of measuring the contact quantity signals can be solved; a to-be-measured contact signal is conditioned and detected, so that the aim of adaptively measuring different types of contact quantity signals is fulfilled; and the working effect of the satellite load equivalent device in different types of contact quantity signal detection can be better.

Embodiments herein relate to, for example, a method performed by a UE (10) for handling communication in a wireless communications network. The UE (10) obtains one or more indications indicating a respective performance metric of a computational model used for estimating an instance parameter related to a signalling process. The UE (10) further triggers an action at the UE (10) when a condition is fulfilled, wherein the condition is related to a prediction of one or more upcoming indications taking the obtained one or more indications into account.

The application discloses a method and device for calculating switching time of a DCS system, equipment and a medium, and is applied to the field of DCS system control. The method provided by the application comprises the following steps: acquiring a first power signal sent by an external signal source to a DCS controller; acquiring a second power signal obtained by processing the first power signal by the DCS controller; and comparing the first power signal with the second power signal to determine the switching time of the DCS system. The application uses the comparison result of the first power signal provided by the external signal source and the second power signal processed by the DCS controller as the switching time of the DCS system, that is, two output signals are used, and the change trend of the two output signals is calculated, so that the switching time of the DCS system can be obtained more accurately, and the error is reduced. Meanwhile, the method for calculating the switching time of the DCS system provided by the application has a wide application range.

The invention relates to a signaling process analysis method and device, electronic equipment, a storage medium and a computer program product. The signaling process analysis method comprises the following steps: inputting a to-be-tested signaling process into a trained hash model to obtain a to-be-tested hash table of the to-be-tested signaling process; performing similarity calculation on the to-be-tested hash table and each reference hash table in the reference hash table library to obtain a corresponding target similarity value; the reference hash table library comprises N normal signaling process hash tables and M abnormal signaling process hash tables, the reference hash table is a normal signaling process hash table or an abnormal signaling process hash table, and N and M are positive integers; performing weighted summation on the target similarity value according to the weight of the reference hash table to obtain a sum value; and performing anomaly detection processing according to the sum value and a first threshold value to obtain a first anomaly detection result, the first anomaly detection result indicating that the to-be-detected signaling process is normal or abnormal. According to the technical scheme, the efficiency of signaling process analysis can be improved.

The embodiment of the application provides a communication device and a communication system, wherein the outdoor unit of the communication device comprises a switch unit and at least two signal processing units; one signal processing unit is used for processing a group of transceiving intermediate frequency signals, and the transceiving intermediate frequencies of the signals processed by different signal processing units are different; the switch unit is used for controlling a specified signal processing unit in the at least two signal processing units to process a specified transceiving intermediate frequency signal corresponding to the specified signal processing unit, so that the problem that a digital microwave system communication device only supports processing a group of transceiving intermediate frequency signals in the related art can be solved, the digital microwave communication device cannot meet the requirements of different application scenarios, and the technical effects of improving the versatility and flexibility of the communication device are achieved.

Disclosed in the present application are a processing method, a communication device, and a storage medium. The method comprises: a terminal device sending a first message, such that a network device executes first processing on the basis of the first message. By means of the technical solution of the present application, a terminal device sends a first message, such that a network device executes first processing on the basis of the first message, thereby providing a signaling process with regards to a satellite (base station) storage and forwarding mode, and ensuring that a UP mode can be normally used.

The invention discloses a voice signaling tracking service system for tracking a call, and belongs to the technical field of mobile communication services. According to the method, the problems of long troubleshooting time and influence on the system recovery speed due to dependence on manual analysis and lack of an automatic analysis technology in the prior art are solved, and by capturing the signaling message in real time and analyzing the signaling message based on the signaling process model, abnormal and potential faults can be quickly found, and the delay of fault detection is reduced; the adjustment strategy corresponding to the fault type is obtained from the decision tree model, the network configuration or signaling process is dynamically adjusted, manual intervention is reduced, and the fault processing efficiency is improved; according to the voice signaling tracking service system, an alarm mechanism is arranged, and when an abnormality is detected, related personnel are notified in time, so that a fault can be found and processed in time, the real-time performance, the accuracy and the automation level of the voice signaling tracking service system are improved, and the quality of mobile communication service is improved.

The invention discloses a UWB positioning precision optimization method based on IWPT-BILSTM, and relates to the field of UWB positioning. A lightweight attention module is introduced to improve a traditional WPT, the improved WPT (IWPT) has a self-adaptive sub-band screening and weighted reconstruction mechanism, accurate time-frequency decomposition and effective feature extraction are performed on original UWB signals by using the IWPT, noise in data is weakened to reserve more effective time-frequency signals, and the UWB signals are subjected to time-frequency decomposition and effective feature extraction. And then low-noise and high-validity data are sent to a BI-LSTM network for training, the BI-LSTM network is used for carrying out time sequence correlation and dynamic error correction on effective characteristic signals after IWPT processing, and finally nonlinear time sequence characteristics generated in the time sequence correlation process are accurately mapped into a UWB positioning result. By adopting the method, the positioning error can be obviously reduced, the positioning robustness and generalization ability in a complex environment can be improved, and the method has a relatively good engineering application value.

Provided in the present application are a communication method and a communication apparatus. The method comprises: receiving a first reference signal of a first port, wherein the first reference signal comprises a reference signal obtained by performing precoding on the basis of a first precoding matrix, and the first precoding matrix is determined on the basis of a first multi-path parameter of the first port; receiving first indication information, wherein the first indication information indicates the type of a parameter included in the first multi-path parameter, and the type of the parameter included in the first multi-path parameter is used for determining a calculation mode of the first precoding matrix; and on the basis of the first precoding matrix and the first reference signal, performing channel estimation. The type of a parameter included in a multi-path parameter of a first port can be determined by means of first indication information, that is, a calculation mode of a precoding matrix of the first port is determined, such that the precoding matrix of the first port can be determined, and channel estimation is performed by using the precoding matrix and a reference signal processed by the precoding matrix.

The invention relates to the technical field of signaling flow processing, and provides a signaling flow processing method and device, electronic equipment, a product and a storage medium. The method comprises the following steps: constructing a plurality of standard signaling flows based on signaling flows in different network environments; taking the signaling process related to the problem input by the user as a problem signaling process, and matching the problem signaling process with a plurality of standard signaling processes to obtain a matching result; based on a matching result, determining that the problem signaling process is an abnormal signaling process; and updating a case library of signaling process processing based on a processing result of the technician on the abnormal signaling process. On one hand, the method is suitable for standardized operation of recognition of various abnormal modes, on the other hand, the abnormal process can be efficiently and accurately recognized without depending on professional knowledge and professional experience of professional technicians, and on the basis of the case library updated based on the processing result, the abnormal process can be efficiently and accurately recognized. And the subsequent processing efficiency and accuracy of the abnormal process are effectively improved.

In one aspect, the techniques described herein relate to a computer-implemented method that includes receiving, from a device associated with a Wi-Fi network, a signal. The signal may be configured to convey generational capabilities of the device to operate in the Wi-Fi network. The generational capabilities may include information on compliance of the device with wireless communication protocols of the Wi-Fi network. The method may further include determining a status of the device for operating in the Wi-Fi network based on the generational capabilities of the device included the signal and configuring one or more parameters for communicating with the device in the Wi-Fi network according to the status of the device. The method may further include communicating with the device using the one or more parameters.

The present invention discloses an anti-jamming method for extracting GNSS useful signals in a strong interference environment, which relates to the field of satellite navigation technology and specifically includes the following steps: monitoring the gain value of the AGC, and if the gain value changes significantly, interference is detected; calculating the power ratio of the interference signal to the GNSS useful signal by using the monitored AGC gain value; down-converting the signal received by the GNSS receiver to the base frequency and filtering out high-frequency signals and noise; processing the base-frequency signal by using PCA to remove part of the interference; transforming the signal processed by PCA to the Doppler-delay domain to determine the frequency of the GNSS useful signal; transforming the signal processed by PCA to the time-frequency domain to solve the phase of the GNSS useful signal; and extracting the GNSS useful signal from the interfered signal by using the power ratio, frequency and phase. The present invention can accurately recover the GNSS useful signal in a strong interference environment, improve the positioning accuracy in an interference environment, and provide precise positioning for various applications requiring positioning.

In one aspect, the UE obtains multiple positioning reference signal (PRS) configurations and receives an L1 or L2 message from the BS indicating one of the multiple PRS configurations, thereby triggering an aperiodic or semi-periodic PRS process according to the indicated PRS configuration.

The invention discloses a communication method based on chirp spread spectrum hybrid modulation, and the method comprises the steps: first equipment carries out the CSS hybrid modulation of information bits according to first information, and transmits a first signal after the CSS hybrid modulation to second equipment; the second device receives the first signal according to second information, demodulates the first signal and obtains information bits, and the first signal is a signal for modulating an initial frequency sweeping frequency point of a frequency-modulated signal and the phase and / or amplitude of the frequency-modulated signal. By designing the chirp spread spectrum hybrid modulation method, the demodulation scheme and the corresponding signaling process, the spectrum efficiency of the communication system is effectively improved while low power consumption and long-distance communication of the communication system are ensured.

The invention provides a motion artifact classification compensation method and system for a vehicle-mounted fNIRS signal. The method comprises the following steps: synchronously acquiring multi-modal data; performing preprocessing and feature extraction on the multi-modal data to obtain fNIRS signal features, vehicle motion features and face micro-motion features; inputting the fused motion artifact into a classification model, and outputting a motion artifact classification result; if the classification result is that the vehicle moves or the head shakes, inputting the polluted fNIRS signal segment and a noise category label thereof into a pre-trained conditional generative adversarial network (cGAN) generator, and generating a repaired fNIRS signal segment; if the classification result is that the face is slightly trembled or the signal is good, the current fNIRS signal segment is reserved; and outputting the fNIRS signal subjected to classification decision and compensation processing for cognitive state analysis. According to the invention, through a collaborative architecture of multi-modal fusion classification and generative adversarial network compensation, accurate identification and signal restoration of motion artifacts are realized.