13results about How to "Improve SINR" patented technology

The invention discloses a rate division multiple access communication network total rate optimization method and system, and belongs to the technical field of communication. The method comprises the following steps: constructing a downlink rate segmentation multiple access communication system model based on an intelligent reflecting surface; the communication system model comprises a base station, an intelligent reflecting surface and a user side; grouping users in the user side, and constructing a hierarchical rate segmentation multiple access model based on user grouping; the hierarchical rate segmentation multiple access model comprises a corresponding relation between the user group and information flow generated by the base station; and according to the hierarchical rate segmentation multiple access model and the intelligent reflecting surface, assisting downlink communication between the base station and the user side. According to the method and the device, the layered rate division multiple access model is constructed by grouping the users, and the system performance is improved by combining the intelligent reflecting surface passive beam forming and the rate division multiple access active beam forming, so that the problems of spectrum resource shortage and signal interference can be solved, and the spectrum efficiency is greatly improved.

This invention discloses a radar target angle measurement method under main lobe interference based on a joint air-pole cancellation algorithm. The implementation steps are as follows: receiving the echo signal from a dual-polarized radar antenna array; estimating the autocorrelation matrix of the auxiliary antenna using the echo signal; performing multi-directional beamforming on the main antenna echo signal, calculating the cross-correlation matrix of the main and auxiliary antennas using the beamforming results, and calculating adaptive weights using the minimum mean square error criterion; calculating the joint air-pole cancellation output using the adaptive weights, and using the scanning angle corresponding to the maximum magnitude in the joint air-pole cancellation output as the target angle estimate. The angle measurement method designed in this invention significantly improves the accuracy of target angle estimation while maintaining low computational load under main lobe interference conditions, and has high engineering application value.

This invention discloses a multi-target adaptive jamming system based on an array antenna, belonging to the field of electromagnetic countermeasures and signal processing technology. The system includes an array antenna unit, a multi-channel RF front-end, a signal processing and control unit, and an environmental sensing unit. The array antenna scans the airspace and captures signals from multiple targets; the signal processing and control unit runs various algorithms to estimate the azimuth, frequency, and power parameters of multiple targets; an interference suppression matrix is ​​constructed based on singular value decomposition, generating multiple low-sidelobe focused jamming beams aimed at each target; the environmental sensing unit monitors background noise intensity in real time and dynamically adjusts the transmission power through a noise adaptive power control algorithm. This invention overcomes the shortcomings of traditional jamming techniques, such as energy dispersion, poor environmental adaptability, and unintelligent resource allocation. It can simultaneously achieve efficient and precise jamming of multiple targets, significantly improving the suppression ratio of a single target, and maintaining high jamming efficiency and resource utilization even in high-noise environments.

The invention provides an unmanned aerial vehicle low-interaction amount pre-coding anti-interference method based on strong and weak partition dynamic clustering, relates to the field of unmanned aerial vehicle communication, and solves the problem that when an unmanned aerial vehicle cluster is used as an air distributed base station to communicate with a ground user in an external interference scene, the unmanned aerial vehicle cluster does not interact with the ground user. The problem of how to ensure the communication quality of interfered users while reducing the information interaction amount is solved. The method comprises the following steps: S1, performing unmanned aerial vehicle clustering operation based on clustering size dynamic control; s2, performing ground user confirmation operation based on cluster size dynamic coordination; s3, performing strong and weak cluster interference partition estimation in unmanned aerial vehicle clustering; s4, performing precoding matrix optimization iteration on each unmanned aerial vehicle cluster to realize an anti-interference process; s5, calculating and analyzing the information interaction amount in the communication process, and evaluating the anti-interference effect; the method can ensure and improve the signal to interference plus noise ratio of users interfered by the outside, and can significantly reduce the information interaction amount compared with a non-clustering scheme.

The invention discloses a deep learning auxiliary interference suppression method and system based on a movable antenna array, belongs to the technical field of communication signal processing, considers a legal communication link with a plurality of jammers, and suggests to deploy the movable antenna array on a receiver to resist interference attacks. The method comprises the following steps: firstly, constructing a scene in which a plurality of jammers and a single-source node communicate with a base station, analyzing to obtain an instantaneous signal to interference plus noise ratio of a receiver, and forming a problem model which takes maximization of the signal to interference plus noise ratio of the system as a target and takes receiving beam forming and antenna unit positioning as variables; then, a deep learning-based framework is developed, beam forming is solved as a Rayleigh entropy problem, and antenna unit positioning is solved through multi-layer perceptron training; neural network parameters are optimized by adopting a stochastic gradient descent method, and the purpose of effectively suppressing interference is achieved.

The present invention belongs to the field of wireless communication technology, and specifically relates to an improved interference alignment secure transmission method for avoiding elimination of useful signals; the method comprises: a confidential transmitting end sends a confidential signal to a receiving end, and a non-confidential transmitting end sends a non-confidential signal to a receiving end; the receiving end comprises a confidential receiving end, a non-confidential receiving end and an eavesdropping user; an improved interference alignment algorithm for avoiding elimination of useful signals is used to process the transmitting signal and the receiving signal to obtain a transmitting scheme and a receiving scheme; a maximum security rate objective function is constructed according to the transmitting scheme and the receiving scheme; the maximum security rate objective function is solved to obtain an optimal power allocation scheme for a confidential transmitting end; and signal secure transmission is performed according to the transmitting scheme, the receiving scheme and the optimal power allocation scheme for a confidential transmitting end; the present invention avoids the problem that a traditional interference alignment algorithm may cause elimination of useful signals, and can guarantee the service quality of confidential users to the greatest extent on the basis of ensuring security performance.

The invention discloses a livestock raising equipment cooperative control method and system based on wireless communication, relates to the technical field of wireless communication, breaks through the limitation of traditional pure data driven blind separation, and provides a structure constraint type projection method based on RIS asymmetric partitioning. RIS is divided into an auxiliary detection and symbiotic transmission array plane, a known physical reflection coefficient is used as a prior structure and is subjected to forced orthogonal fusion with an SVD decomposition result, and a structure constraint type projection operator is constructed. According to the bypass detection and main path stripping mechanism, channel estimation in advance is not needed, the calculation complexity is low, and strong direct wave interference can be accurately stripped under the conditions of extremely low signal-to-noise ratio and few snapshots. According to the method, the signal to interference plus noise ratio of the weak symbiotic signals is greatly improved, dependence on the number of snapshots is remarkably reduced, the environment subspace can still be stably extracted under the extremely low signal to noise ratio, the error rate platform phenomenon of a traditional method is avoided, the secondary signals are highly reliably recovered, and accurate cooperative control over livestock raising equipment is guaranteed.

The invention discloses a space-time adaptive anti-interference optimization method for a multi-array-element antenna satellite navigation receiver. The space-time adaptive anti-interference optimization method is used for the multi-array-element antenna satellite navigation receiver. According to the method, null broadening and deepening are carried out by using space and time domains, on the basis of minimum variance undistorted response criterion constraint, sampling signals are buffered and segmented in the time domain, the environment of large motion angle change and serious Doppler frequency offset of received interference signals can be better resisted, the SMI algorithm is adopted to replace a traditional LMS algorithm, and the method has the advantages of being high in robustness and high in robustness. The problems that the algorithm convergence speed is low and the actual application requirement cannot be met under the complex interference scene are solved through parallel computing.

The application discloses a kind of for speed fuzzy target robust detection under clutter background transceiver design method, comprising the following steps: S1, intra-pulse inter-pulse parameter agile waveform component analysis;S2, intra-pulse inter-pulse waveform dependent airborne radar echo modeling;S3, the modeling of speed fuzzy target robust detection problem based on cognitive information;S4, transmission and Doppler filter bank robust joint design problem solution.The application proposes a kind of for speed fuzzy target robust detection under clutter background transceiver joint design method, based on block enhancement, principal component minimization and sequence convex approximation etc. Non-convex optimization method, efficient configuration intra-pulse inter-pulse waveform amplitude, phase and timing etc. Parameters and Doppler filter bank coefficient, maximize the worst signal-to-interference-and-noise ratio of speed fuzzy target, realize the robust detection of speed fuzzy target under clutter background.

The embodiment of the invention provides a communication perception integrated game anti-interference method and device, equipment and a medium. The invention relates to the technical field of signal transmission. The method comprises the following steps: acquiring to-be-sent information needing to be sent to a user side by a base station; obtaining the target beam forming of the base station, the target trajectory of the unmanned aerial vehicle and the target beam forming of the unmanned aerial vehicle; sending the information to be sent to the user side based on the base station according to the target beam forming of the base station; and sending the to-be-sent information to the user side based on the unmanned aerial vehicle according to the target trajectory of the unmanned aerial vehicle and the target beam forming of the unmanned aerial vehicle. The method is used for achieving the technical effect of improving the transmission quality of signal transmission.

The invention relates to a network resource allocation method for an electric power intelligent sensor relay backhaul network. The method comprises the following steps: for a sensor group formed by an S2S pair sharing the same channel, according to communication performance parameters of each sensor device in the sensor group and noise signal power of the channel, determining a signal interference noise ratio of the sensor group, and under the condition that the type of interference suffered by an interfered sensor in the sensor group is accumulated interference, determining a signal interference noise ratio of the interfered sensor in the sensor group; determining interference weights corresponding to the interfered sensors according to the signal interference noise ratios, constructing an interference hypergraph model based on the interference weights corresponding to all the interfered sensors, determining the maximum interference degree of the sensor network according to the interference hypergraph model, and determining a resource allocation scheme based on the maximum interference degree. Therefore, the network resource distribution of the power sensor is realized. By adopting the method, the optimal resource allocation scheme can be adaptively selected, and the resource allocation is effectively realized.

The present invention relates to the field of field area network multi-hop communication technology, specifically, a large-scale self-organizing network channel conflict avoidance method based on conflict graph, which mainly adopts frequency hopping technology and coloring method to allocate channels and avoid channel conflicts. The main steps include: establishing network topology, establishing channel model, calculating interference and signal-to-interference-noise ratio; generating frequency hopping sequence to solve conflicts between nodes of different networks; establishing interference model, generating conflict graph, and establishing channel allocation problem; introducing frequency hopping mode, converting channel allocation problem into time slot allocation problem; establishing mathematical model to solve channel conflicts within the network; establishing optimization problem, converting time slot allocation problem into vertex coloring problem in graph theory; using graph coloring algorithm to solve the problem. This method can reduce wireless channel conflicts, improve data transmission efficiency, and reduce end-to-end transmission delay.

The invention discloses a radar waveform optimization method and system for resisting full pulse forwarding interference, and relates to the technical field of radar waveform design, and the method comprises the steps: building a mathematical expression for representing a phase-dependent non-convex quadratic optimization problem of a radar waveform based on an optimization criterion of a maximized signal to interference plus noise ratio, the radar waveform refers to a radar waveform for full-pulse forwarding type interference, and the mathematical expression is associated with a key parameter for suppressing the full-pulse forwarding type interference; solving the mathematical expression to obtain an optimal key parameter; and optimizing the radar waveform by using the optimal key parameter. According to the method, the signal to interference plus noise ratio can be further improved, the convergence performance during solving is ensured, and the false echo energy is distributed outside a true target echo energy region on the premise of not changing the true target echo characteristics, so that the suppression of the full pulse forwarding interference is realized.