21 results about "Fusion center" patented technology

The application provides a target positioning method based on multi-station long-time passive angle measurement, which is applied to an information collection node and comprises the following steps: obtaining angle information of a target collected by a passive sensor in a preset time period, and a sampling position and a sampling time of the passive sensor; estimating a first sampling position and a first motion speed corresponding to the passive sensor at a first time according to the sampling position and the sampling time of the passive sensor; estimating first angle information of the target corresponding to the passive sensor at the first time according to the angle information of the target collected by the passive sensor and the sampling time; and sending the first sampling position, the first motion speed and the first angle information corresponding to the passive sensor to an information fusion center, so that the information fusion center estimates the position and the speed of the target at the first time according to the first sampling position, the first motion speed and the first angle information corresponding to the passive sensor, and the communication amount can be reduced and the positioning precision can be improved.

A communication method and device, applied to the technical field of communication, the method comprising: a first device sending first information, the first information can comprise information of N resources, and / or the first information can comprise first accuracy information of sensing measurement values corresponding to the N resources, wherein the N resources are used to carry sensing signals, and N is a positive integer. In this application, the first device can report the first information, which comprises information of N resources and / or first accuracy information of sensing measurement values corresponding to the N resources, so that the fusion center can determine the measurement accuracy of the sensing measurement values reported by the first device subsequently, and fuse the sensing measurement values reported by multiple devices (including the first device) based on the measurement accuracy of the sensing measurement values, thereby improving the accuracy of target position estimation.

The application provides a convex optimization target positioning method for quantifying AOA, obtains original AOA measurements between sensor nodes in a sensor network, calculates Taylor series approximation processing arctangent function, quantizes original AOA measurement values, sends the quantized AOA measurement values to a fusion center after transmission through a non-ideal channel, transforms a target function into a convex function by using semi-positive relaxation, transforms and relaxes constraint conditions, transforms the problem into a convex problem, solves the convex optimization problem, and obtains an estimated value of a target position. The AOA measurement adopted by the application can still obtain the estimated value of the target position relatively accurately in a water acoustic sensor network positioning system with limited resources and limited energy, the convex optimization method is used to solve the target positioning problem, can converge to a global optimal solution and does not depend on the selection of an initial point, and has strong practicability and high accuracy.

The application discloses a decision fusion method and system in a multi-listening scenario in covert communication and belongs to the technical field of wireless communication. The method comprises the following steps: configuring a limited total block length for each listening node, and dividing the total block length into a detection block length and a transmission block length; each listening node performs local signal sensing, generates a local decision result by using the detection block length, and sends the local decision result to a fusion center by using the transmission block length; the fusion center allocates an optimal fusion weight for each decision result based on the local detection performance and the transmission performance of each listening node according to the criterion of minimizing the global detection error probability; the fusion center calculates a weighted sum based on the fusion weight and the corresponding decision result, compares the weighted sum with an optimal decision threshold of the fusion center, and makes a global decision on whether the target signal exists. The application realizes the optimal performance of a whole link from sensing to fusion, and improves the reliability and accuracy of signal detection.

Embodiments of the application disclose a kind of distributed communication signal detection method, device and system based on generalized likelihood ratio, wherein the method is applied to fusion center, comprising the following steps: S1: receiving the observation data transmitted by multiple receiving nodes; S2: under the assumption that radiation source does not exist and radiation source exists, respectively construct the joint conditional probability density function of all observation data of all receiving nodes within the observation time; S3: adopt NP criterion to construct the expression of generalized likelihood ratio test statistic; S4: according to maximum likelihood criterion, estimate the covariance matrix in the joint conditional probability density function under the assumption of two kinds; S5: the estimated value of the covariance matrix under the assumption of two kinds is substituted into the expression of generalized likelihood ratio test statistic, and compared with the decision threshold set according to false alarm probability, to complete distributed communication signal detection. The application can improve the detection probability of communication signal under low signal-to-noise ratio, and has good noise resistance when there is noise fluctuation in different receiving nodes.

The application provides a kind of identity authentication method and system based on blockchain, comprising constructing the distributed two-way authentication and secure communication system of fusion PKI center node and blockchain consensus node;Identity information is configured according to user role;All identity information is stored in a decentralized manner using blockchain technology, and the key summary of identity information is stored on chain instead of original data;Client, server start two-way authentication process according to the trusted information stored on chain, and complete the negotiation and generation of session key;Client, server use the generated session key to perform symmetric encryption and decryption processing on the transmission content.The application effectively prevents the risk of personnel rule violation, data tampering and other risks through strict identity verification and operation traceability, and users can independently manage identity authorization range and use scenarios, thereby completely changing the situation that users passively accept information management and control under the traditional system.

The application discloses a method for unmanned aerial vehicle cluster to cooperatively detect interference areas and locate the center, which comprises the following steps: activating the airborne quantum-enhanced inertial navigation system to obtain absolute position without drift when the navigation is disturbed; combining the multi-sensor fusion measurement value and the initial credibility evaluated dynamically to encode into a logic quantum bit parameter; constructing a multi-bit global quantum superposition state at the fusion center, executing a quantum consensus algorithm containing a dynamic oracle operator, and using quantum interference to quickly amplify the probability amplitude of the honest node group; measuring the ground state after the wave function collapses to accurately strip the Byzantine malicious nodes; finally, extracting a pure high-trust data set and iteratively locating the interference center based on the particle filtering algorithm. The application breaks away from the dependence on external navigation, improves the computing efficiency of anti-malicious fraud and the positioning robustness in complex nonlinear environments.

The application discloses a kind of asynchronous distributed radar detection positioning integration method based on multidimensional feature transformation, each independent operation asynchronous radar carries out local low threshold detection, only the point track that passes threshold is transmitted to fusion center, reduce the calculation burden of fusion center under the premise of not sacrificing too much fusion detection performance;Fusion center is mapped to feature space by multidimensional extended feature transformation proposed, and multidimensional feature space is quantized sampling by space delimitation and importance sampling operation;Iterative detection is carried out to multidimensional feature space by two-stage detection method, and detection point track and initial track are output;Based on extended speed feature transformation, spatial velocity estimation is obtained using Doppler information and angle measurement information, and positioning estimation is estimated by combining spatial velocity estimation and position measurement.The application improves the detection performance and real-time processing performance of traditional batch processing algorithm under high false alarm rate by optimizing the acquisition method of accumulation score table and detection process.

This invention discloses a UAV-assisted covert communication method and system under multi-monitoring node cooperation, belonging to the field of wireless communication technology. The UAV-assisted covert communication method under multi-monitoring node cooperation includes: establishing a legitimate link transmission model and a detection model for a fusion center to perform binary hypothesis testing on the legitimate transmitter's transmission behavior; deriving the minimum detection error probability of the fusion center; constructing a non-convex optimization problem of the amplification and forwarding coefficients of the monitoring nodes, equivalently transforming it into an optimization problem under unit norm constraints, and simplifying it into a one-dimensional search problem with a single variable, solving for the optimal amplification and forwarding coefficient direction; and optimizing the legitimate transmitter power to maximize the effective covert communication rate based on the monotonicity of detection performance with respect to the legitimate transmitter's transmission power. This invention achieves covert communication with low computational complexity, low resource consumption, and high effective rate, and reveals the saturation effect of the benefits of cooperative detection.

The first embodiment of the present invention discloses an intrusion detection system comprising: an intrusion detection device configured adjacent to a fence to detect intrusion; a control center processing an intrusion detection signal transmitted from the intrusion detection device; a fusion center analyzing intrusion in conjunction with the intrusion detection device and the control center; and a terminal processing an intrusion detection signal transmitted from the intrusion detection device. The intrusion detection device comprises: a sensor unit comprising: an active conductor through which current supplied via a power supply flows; an optical cable located between the active conductors to generate an optical signal; and a magnet provided on the inner or outer side of the composite cable to generate a magnetic induction signal together with the active conductors; a control unit that processes the signal detected by the sensor unit to determine the location of the intrusion; a display unit that displays the result processed by the control unit externally as a character or text; and an alarm unit that displays the result processed by the control unit externally as an alarm sound. A second embodiment of the present invention discloses an intrusion detection system utilizing location analysis by a composite cable in which magnetic induction signals and microwave signals are generated in combination, characterized in that the intrusion detection device comprises: an active conductor through which current supplied via a power supply flows; a central conductor located between the active conductors and generating a microwave signal; a permanent magnet provided inside the composite cable and generating a magnetic induction signal together with the active conductors; a control unit that processes a signal detected by the sensor unit to determine the intrusion location; a display unit that displays the result processed by the control unit externally as a character or text; and an alarm unit that displays the result processed by the control unit externally as an alarm sound.A third embodiment of the present invention discloses an intrusion detection system utilizing location analysis by a composite cable in which an optical signal, a charge signal, and an optical signal are generated in combination, characterized by comprising: a sensor unit comprising: an optical cable in which an intrusion detection device is inserted into a tube to generate an optical signal; and a metal plate provided inside a composite cable to generate an electric signal; a control unit that processes the signal detected by the sensor unit to determine the intrusion location; a display unit that displays the result processed by the control unit as a character or text to the outside; and an alarm unit that displays the result processed by the control unit as an alarm sound to the outside.

This invention provides a multi-source heterogeneous communication system, method, and launch vehicle for a launch vehicle. The multi-source heterogeneous communication system includes a heterogeneous communication subsystem and a heterogeneous communication fusion center. The heterogeneous communication fusion center includes a multi-protocol interface module, a protocol parsing and encapsulation module, and a data routing and switching core. The multi-protocol interface module integrates at least two different types of physical interfaces and corresponding link layer controllers. The protocol parsing and encapsulation module converts data frames into standardized data packets and encapsulates the standardized data packets into the frame format required by the target communication protocol. The data routing and switching core receives the standardized data packets and determines the forwarding path and scheduling strategy for the standardized data packets. By setting up the heterogeneous communication fusion center, the collaborative management and efficient utilization of global data resources are achieved.

The CPS-based random event-triggered safety state estimation method and related device include establishing an event-triggered local estimator of a sensor subsystem; establishing a single-sensor information physical system random event-triggered scheduler under denial of service attack; the random event-triggered scheduler determines whether the sensor sends the original measurement observation data to the event-triggered local estimator; the local estimator processes the local estimation according to the estimation algorithm to obtain the local estimation and the covariance matrix; and the local estimation and the covariance matrix are sent to the fusion center to obtain the global estimation and the covariance matrix.

A communication method and apparatus, applied to the technical field of communications, the method comprising: a first apparatus generating first information and sending the first information, the first information comprising first error information and first position measurement information of a first sensing target, the first error information is used for representing the uncertainty of the measurement value indicated by the first position measurement information. According to the embodiment of the invention, when the fusion center fuses the measurement information of the first sensing target reported by a plurality of devices, the position estimation uncertainty of the first sensing target can be reduced by using the first error information, so that the position estimation precision of the sensing target is improved.

The application discloses a low-altitude unmanned aerial vehicle intelligent tracking and monitoring method and system, and relates to the technical field of unmanned aerial vehicle tracking.The method collects target data through a multi-source sensor and unifies a space-time reference, generates fused flight tracks and identity information by adopting a hierarchical fusion architecture, drives a photoelectric turntable to track the target based on a LESO-GPC algorithm, detects a shielding state and switches three modes of normal, prediction and search to realize anti-shielding continuous tracking, and feeds back photoelectric miss distance to a fusion center to correct parameters.The application improves the continuity, precision and anti-interference capability of unmanned aerial vehicle tracking.

This invention discloses a sports health monitoring and early warning system based on a smart wearable device. The system includes: a multimodal sensor array that simultaneously acquires electromyography (EMG) signals, photoplethysmography (PPG) signals, and inertial measurement unit (IMU) data; a muscle-vascular coupling analysis module that calculates the muscle-vascular phase synchronization index to distinguish between central and peripheral fatigue; a hemodynamic causal inference module that constructs a multimodal temporal causal graph through conditional mutual information to achieve causal-driven early warning; a dynamic adversarial domain adaptive module that optimizes personalized models within a federated learning framework; an energy-information flow collaborative optimization module that dynamically schedules sensor sampling strategies; and a multimodal data fusion center that outputs a multidimensional health risk assessment vector using a graph neural network. This invention, through causal-driven early warning, adversarial domain adaptation, and energy-information flow collaborative optimization, can significantly reduce false alarm rates, improve personalized monitoring accuracy, and extend device battery life.

The application provides a multi-agent cooperative positioning method and system based on a dual-channel event triggering mechanism, which comprises the following steps: establishing a discrete-time nonlinear state space model of each robot; establishing an event triggering mechanism for a channel between a sensor node and a remote estimator; performing local filtering update based on Kalman gain to obtain a local state estimation value; establishing an event triggering mechanism for a channel between the remote estimator and a fusion center; performing prediction compensation on the received local state estimation value by the fusion center to obtain a complete local compensation estimation value; constructing a quadratic optimization problem with the minimization of global estimation error covariance as the target, and calculating an optimal weighting matrix to realize distributed fusion and output a global state estimation value. The application realizes dynamic balance between communication frequency and estimation accuracy, and the event triggering mechanism significantly reduces data transmission while maintaining estimation performance.

This invention proposes a multi-channel radar target detection method based on signal-to-noise ratio (SNR) weighted fusion. The implementation steps are as follows: initializing a multi-channel radar target detection system; calculating local test statistics for each radar channel and performing a monotonic transformation; calculating the SNR weighted value for each local test statistic for each radar channel; calculating the global threshold of the multi-channel radar target detection system through a signal fusion center; and obtaining the target detection result. In this invention, the signal fusion center performs weighted fusion of the local test statistics of the multi-channel radar using the SNR weighted value of each radar channel to obtain the global test statistics. When the local test statistics have the same distribution, the global test statistics contain both local test statistics information and SNR information. When the local test statistics have different distributions, the global test statistics contain both local test statistics and SNR information, reducing information loss and effectively improving the detection probability.

The application discloses a kind of multi-user high energy efficiency hybrid resource allocation method suitable for IoV, for the case that multiple primary users and multiple secondary users exist simultaneously in cognitive vehicle networking, a reasonable and efficient resource allocation scheme is proposed.Each primary user enjoys a separate authorized frequency band, and the secondary user communicates using a hybrid spectrum access method without affecting the quality of service of the primary user, and shares the authorized spectrum with the primary user. Multiple secondary users report the sensing results to the fusion center by local spectrum sensing of all subchannels, while considering the presence of errors in the reporting channel, the false alarm probability and detection probability of the global decision are obtained;Under the constraint conditions of secondary user sending end average transmission power, primary user interference and system rate, the system model of maximum energy efficiency is determined, and the objective function is obtained;Then the objective function is converted into a convex function using distributed programming, the power allocation part uses the Lagrange function, and the optimal solution expression is obtained according to the KKT condition;Subgradient algorithm is used to calculate the Lagrange multiplier, and finally the optimal power allocation of the secondary user on each subchannel is obtained to achieve the purpose of maximizing the energy efficiency of the IoV communication system.

This invention discloses a dental AI-assisted operating system, belonging to the field of dental assisted operation technology. It includes a three-dimensional visual perception module, a data transmission and interaction module, an AI data processing and fusion center, an intelligent display module, and a central control and early warning module. The AI ​​data processing and fusion center includes a safety boundary early warning unit, a surgical instrument tracking and loss early warning unit, a bleeding monitoring unit, and a surgical step guidance and verification unit. Through the safety boundary early warning unit, this invention fuses static preoperative CBCT data with dynamic real-time three-dimensional vision, achieving dynamic, high-precision, real-time distance monitoring and early warning of key anatomical structures such as the inferior alveolar nerve canal and maxillary sinus. This system can issue an alarm before surgical instruments are about to touch dangerous areas, transforming traditional postoperative remediation into preoperative prevention, fundamentally and significantly reducing the probability of serious complications such as permanent nerve damage and maxillary sinus perforation.

A communication method and apparatus, which are applied to the technical field of communications. The method comprises: a first apparatus generating first information and sending the first information, wherein the first information comprises first error information and first position measurement information of a first sensing target, and the first error information is used for indicating the uncertainty of a measurement value indicated by the first position measurement information. By means of the embodiments of the present application, when a fusion center fuses measurement information of the first sensing target reported by multiple apparatuses, the uncertainty of the position estimation of the first sensing target can be reduced by using the first error information, thereby improving the accuracy of the position estimation of the sensing target.