16 results about "Interference ratio" patented technology

The application provides a hybrid user unlicensed random access method in a cell-free massive MIMO, comprising the following steps: deploying a cell-free massive MIMO system and calculating an optimal backoff parameter; after obtaining the optimal backoff parameter, an access point broadcasts the optimal backoff parameter to all users; the users randomly activate according to the optimal backoff parameter broadcast by the access point; the users successfully activated randomly select a pilot from a predefined pilot pool and send the pilot to the access point; the access point judges whether the signal-to-interference ratio of the user with the maximum signal strength among the users selecting the same pilot is greater than a threshold value; if yes, the access point identifies the user with the maximum signal strength and accesses the user; otherwise, all the users in conflict are considered to have failed to access and wait for the next reinitiation of access. The application can significantly improve the problem of poor performance of edge users, improve the access efficiency of various types of users in an Internet of Things scene, has high feasibility and can be applied to an actual communication scene.

Provided herein is a method and system for managing multiple Access Points (APs) in a wireless network utilizing a multi-dimensional, cluster-based coordination scheme, known as a hybrid scheme. The hybrid scheme harmonizes the frequency and spatial domains to achieve consistent Signal-to-Interference Ratio (SIR) for all Main Access Points (M-AP) and Secondary Access Points (S-AP) Service Stations (STAs). In various implementations, the hybrid scheme may apply specific algorithms for coordinating the M-APs and S-APs.

This application provides a target detection method, apparatus, and device based on a novel weighted coding method. The method includes: selecting multiple discrete velocities within the predicted relative velocity range between the detection platform and the target; calculating the Doppler shift factor corresponding to each discrete velocity; solving for the locally optimal weighted coding that minimizes the weighted sidelobe level under each Doppler shift factor using an improved solution algorithm, wherein the improved solution algorithm incorporates the Doppler shift factor as a coefficient into the expression for the weighted sidelobe level; and calculating the globally optimal weighted coding based on all locally optimal weighted codings, wherein the globally optimal weighted coding is used to construct the transmitted signal of the detection platform. Through this application, even when the specific relative velocity is unknown, the transmitted signal can ensure that its range sidelobe level is suppressed to a low range at any velocity within the entire prediction range, thereby ensuring a stable signal-to-interference ratio (SIR) after matched filtering.

This invention relates to an unsupervised learning method and apparatus for single-channel blind source separation and anti-interference in direct-sequence spread spectrum (DSSS) communication systems, relating to the fields of wireless communication signal processing and deep learning. Addressing the problem of extremely low signal-to-interference ratio (SIR) and lack of clean signal labels in single-channel DSSS systems under strong interference environments, this invention constructs an interference estimator based on a large receptive field convolutional neural network. Utilizing the spectral bias characteristics of deep neural networks, unsupervised training is performed by simultaneously using a mixed signal as both input and training target. Combined with an early stopping strategy, the network prioritizes fitting structured strong interference while ignoring noise-like DSSS signals. The estimated interference signal is used to separate the DSSS signal from the mixed signal. Finally, a synchronization correction module based on sliding correlation peaks eliminates the phase shift introduced by network processing. This invention achieves efficient blind source separation in a single channel without requiring prior interference parameters or clean signal labels, significantly improving the anti-interference performance of DSSS systems.

The application discloses a communication reliability evaluation method and device based on signal-to-interference ratio distribution and a communication reliability modeling method, and relates to the technical field of communication. The evaluation method comprises the following steps: in an electromagnetic interference test scene, fitting to obtain signal-to-interference ratio distributions of a receiving node under different electromagnetic interference stress levels and communication failure probabilities of the receiving node under the different electromagnetic interference stress levels; determining function expressions of cumulative distribution functions of the signal-to-interference ratio distributions of the receiving node under each electromagnetic interference stress level at a signal-to-interference ratio threshold of the receiving node; determining that a corresponding function expression of the receiving node under the same electromagnetic interference stress level and the communication failure probability are in an equal relationship, and determining the signal-to-interference ratio threshold based on the equal relationship; in a communication scene, determining a signal-to-interference ratio of the receiving node; and in the case that the signal-to-interference ratio is greater than or equal to the signal-to-interference ratio threshold, determining a reliability of the receiving node in completing a communication task under a current electromagnetic environment according to the signal-to-interference ratio threshold of the receiving node and a target T distribution. The evaluation method is simple, easy to apply and has high reliability.

Methods and systems are for managing congestion in a network of devices are disclosed. A method may comprise identifying one or more battery-operated devices. A signal-to-noise ratio (SNR) and a signal-to-interference ratio (SIR) for each battery-operated device may be determined. Based on the SNR and SIR of each battery-operated device, a battery loss using clear channel assessment (CCA) and a battery savings using CCA may be determined. A total battery savings may be compared to a total battery loss to determine that the total battery savings is greater than the total battery loss. Based on the determination that the total battery savings is greater than the total battery loss, a noise may be generated to block transmission from the one or more battery-operated devices.

The application discloses a communication anti-interference autonomous decision-making method, system and device based on joint evaluation of interference parameters and channel conditions, and belongs to the technical field of wireless communication. The method comprises the following steps: processing a received composite signal, extracting parameters such as a signal-to-noise ratio, an interference signal-to-interference ratio, an interference lock time difference and an interference bandwidth proportion; constructing a state vector and selecting a target mode from candidate anti-interference modes based on a decision function; and performing waveform or parameter reconfiguration to maintain service communication. The application realizes quantitative differentiation of interference types and autonomous optimal selection of anti-interference modes, and solves the problem that existing systems cannot accurately cope with complex interference due to reliance on artificial experience.

This invention provides a radar anti-jamming performance parameter error fusion evaluation based on the RCS distribution model. According to the data distribution information in the radar anti-jamming process, the relationship between parameter measurement error, signal-to-interference ratio and radar cross-section is derived using mathematical methods, thereby obtaining the probability density function of parameter measurement error. Since the probability density function is performed throughout the anti-jamming test, it fuses the measured information of parameter measurement error, thus obtaining a more robust anti-jamming rate evaluation result. Compared with the existing technology that directly fuses radar anti-jamming results, its evaluation accuracy is higher.

The application discloses an SSH behavior fine-grained identification method and device resisting mixed interference of behaviors, in the training stage, taking single-class SSH flow as a target flow and taking other-class SSH flow as an interference flow, a transition anchor point packet is constructed through cross-flow feature splicing, and a training sample with a controllable mixed ratio and a soft label are generated; features of a packet length, an arrival time interval and a transmission direction are extracted, and a global hidden representation is extracted through an adaptive fusion input sequence encoder; a Gaussian prototype mean value of each behavior class is constructed, a scaled posterior probability with a margin of the representation is calculated, and a joint loss function optimization model parameter is constructed accordingly; an adaptive course scheduling mechanism based on gain is introduced, and the mixed interference ratio is gradually increased to promote the training; in the reasoning stage, to-be-measured flow is input into the model, and a maximum posterior probability class is taken as a prediction result. The application realizes robust identification of SSH fine-grained behavior classes in an interference environment.

The application relates to the technical field of intelligent voice interaction, in particular to an intelligent device interaction control method and system based on voice recognition, which comprises the following steps: obtaining an intelligent device working current and an original sound wave to calculate an interaction interference ratio value, extracting a pure wave band, establishing a pure wave band frequency domain matrix and a current fluctuation correlation function, constructing a perception library, generating primary instructions, calculating a physical hardware on-off time delay in real time, constructing a load allocation model, correcting instructions according to a model output adjustment coefficient, and generating final control codes. In the application, environmental audio is collected through a microphone array, and load parameters are fed back by a microcontroller; a pure frequency spectrum sequence is extracted by calculating the cross-mapping weight of the audio frequency band and the load curve; a driving instruction is generated by establishing the coupling relationship between the frequency spectrum and the working load; the driving instruction is corrected and issued by collecting the relay delay and calculating the power compensation coefficient; the problems of frequency domain overlap and analysis deviation are solved; and operation stagnation is avoided.

The application discloses a wireless communication link interference identification method and system based on signal separation and multi-modal fusion, relates to the technical field of wireless communication signal processing, and comprises the following steps: acquiring a mixed signal received by a wireless communication link and performing multi-modal preprocessing; constructing an interference separation network based on an encoder-decoder architecture, taking a time-frequency spectrum as input, and reconstructing a target interference spectrum; constructing a double-branch feature extraction network, respectively mapping the target interference spectrum and a physical feature vector to corresponding feature spaces, and extracting visual and physical feature vectors; fusing the visual feature vector and the physical feature vector, generating a joint feature vector, inputting the joint feature vector into a classifier, and outputting an interference category in the mixed signal; the interference separation network effectively suppresses background noise and communication signals from covering interference features, and solves the problem that mechanismally similar interferences are difficult to distinguish by combining physical features, and the recognition robustness under low signal-to-interference ratio and complex background conditions is significantly improved.

The application discloses an SSH behavior fine-grained identification method and device resisting mixed interference of behaviors, in the training stage, taking single-class SSH flow as a target flow, taking other-class SSH flow as an interference flow, constructing a transition anchor point packet through cross-flow feature splicing, generating a training sample with a controllable mixed ratio and a soft label; the length of the data packet, the arrival time interval and the transmission direction features are extracted, and the global hidden representation is extracted through the adaptive fusion input sequence encoder; the Gaussian prototype mean of each behavior category is constructed, the scaled posterior probability of the representation with a margin is calculated, and the joint loss function optimization model parameters are constructed accordingly; an adaptive course scheduling mechanism based on gain is introduced, and the mixed interference ratio is gradually increased to promote the training; in the reasoning stage, the to-be-tested flow is input into the model, and the maximum a posteriori probability category is taken as the prediction result. The application realizes the robust identification of SSH fine-grained behavior categories in the interference environment.

The application discloses a kind of adaptive frequency hopping sequence generation methods for agile interference, method includes S1: obtaining all interference forms and the occurrence probability of each interference form by spectrum monitoring;S2: the frequency range of each frequency hopping frequency point is obtained, and the interference proportion of each frequency hopping frequency point under each interference form is calculated;S3: the number of pulses of a frame and the total number of frequency hopping frequency points are obtained, and the size relationship of the number of pulses of a frame and the total number of frequency hopping frequency points is judged;S4: according to the size relationship of the number of pulses of a frame and the total number of frequency hopping frequency points, frequency hopping sequence is generated.The application solves the problem that the performance of frequency hopping communication system is limited under agile single tone, multi-tone and partial band interference, realizes the accuracy of information transmission of frequency hopping communication system under agile interference mode, and improves the ability of frequency hopping communication system to resist agile interference.

This invention discloses a method for active interference signal-to-interference ratio (SIR) analysis of aircraft radio communications. The method includes: acquiring aircraft track data, ground station coordinate data, and interference source coordinate data, and mapping them uniformly to a three-dimensional coordinate system; obtaining the interference limit of the interference source at a reference distance and obtaining the reference interference field strength at the reference distance through correction processing; constructing a free-space propagation model of the active interference source, calculating the minimum distance between the aircraft's track point and the interference source, and obtaining the interference signal strength at the track point from the free-space propagation model; calculating the signal strength between the ground station and the aircraft at the track point, and calculating the SIR in decibels at the aircraft's airborne receiver at the track point. This invention can quickly generate SIR curves for interference assessment analysis of different interference sources on aircraft at different flight segments or different locations, significantly improving the accuracy and comprehensiveness of active interference analysis for airborne equipment.

Embodiments of a sixth generation (6G) network device in communication with one or more Intelligent Reflecting Surface (IRSs) and one or more UEs are disclosed. In an embodiment, the 6G network device includes one or more processors coupled to a memory storing a set of instructions which when executed by the one or more processors cause the network device to compute IRS tilt information associated with the one or more IRSs based at least in part on one or more of signal-to-noise-plus-interference ratio (SINR) information, Reference Signal Received Power (RSRP) information, and Reference Signal Received Quality (RSRQ) information received from the one or more UEs. The one or more processors further cause the network device to communicate the computed IRS tilt information to the one or more IRSs via a network interface, wherein the IRS tilt information is used to control one or more operational aspects of the one or more IRSs.

This invention provides a method, apparatus, device, and medium for creating generative model data pairs based on pixel comparison. The method includes: acquiring an original image and an object mask image; filling the object region with a solid magenta color and inputting it into an image object elimination model to output a preliminary elimination result image; unifying the resolution of the original image and the elimination result image; calculating the three-channel difference value of the two images pixel by pixel, and generating an initial variable mask based on a threshold T; performing a morphological opening operation on the initial variable mask to generate an optimized variable mask; identifying regions connected to the object region and with an area greater than a first threshold from the optimized variable mask as shadow masks; generating a noise mask; calculating the interference ratio and the maximum noise area; if the interference ratio is greater than a second threshold or the maximum noise area is greater than a third threshold, it is judged as an abnormal result and discarded; otherwise, the original image and the elimination result image are stored as valid data pairs; thus, the output results of the generative model are filtered, improving the efficiency of data pair construction.