15 results about "Interference alignment" patented technology

The invention discloses a Ku wave band star chain downlink signal interference suppression method, system, equipment and medium, and relates to the technical field of wireless communication signal processing, the method comprises the following steps: firstly, receiving an OFDM signal from a star chain system, segmenting the OFDM signal, and carrying out fast Fourier transform on segmented signals to convert the segmented signals into a frequency domain; obtaining a frequency domain signal; then, performing preliminary narrowband interference frequency positioning on the frequency domain signal by using an FCME algorithm to obtain an interference range; and furthermore, a frequency deviation value is calculated by using the interference frequency determined by the DTFT, then frequency spectrum shifting is performed on the frequency domain signal according to the frequency deviation value, and interference alignment is completed through frequency spectrum shifting, so that interference suppression on the Ku-band star chain downlink signal is realized under the condition of avoiding frequency spectrum leakage.

The invention belongs to the technical field of inertial navigation, and provides an inertial instrument anti-disturbance alignment method based on sliding window wavelet filtering to solve the problems that measurement information cannot be fully utilized, an alignment result cannot be globally optimal and is seriously influenced by sudden change interference in an existing alignment method. The anti-disturbance alignment method comprises the following steps: extracting a speed error of an inertial instrument; based on a sliding window wavelet filtering method, carrying out noise reduction processing on system noise of the inertial instrument; and carrying out anti-disturbance self-alignment on the inertial instrument according to the speed error and the noise-reduced output data of the inertial instrument. According to the method, the output data of the inertial instrument can be subjected to noise reduction processing, the holding time of the alignment precision of the inertial measurement unit is prolonged, the dispersion of a convergence value is reduced, and the navigation precision is improved.

Enhancing Multi-Access Point (AP) Coordination (MAPC) null-steering may be provided. Enhancing null-steering may include sending a coordination request for MAPC. A coordination response may be received from one or more APs. A Channel State Information (CSI) request may then be sent. CSI of one or more clients associated with the one or more APs may be received. Next, one or more precoder and decoder matrices may be determined based on the CSI of the one or more clients. The one or more precoder matrices may be sent to the one or more APs, and the one or more decoder matrices may be sent to the one or more clients. A transmission may be sent to a first client using null-steering and interference alignment based on the one or more precoder matrices, wherein the transmitting is synchronized with transmissions by the one or more APs to the one or more clients.

The invention, which relates to the technical field of geological radar detection, discloses a multi-dimensional geological radar data intelligent fusion processing system comprising a bimodal decoupling module, an adaptive alignment module, a feature fusion module and a dual verification module. The bimodal decoupling module is used for separating input multi-dimensional geological radar data into a spatial topology mode and a spectrum characteristic mode; the adaptive alignment module comprises a lightweight space-time encoder for processing a spatial topology mode to generate a spatial feature vector; and the frequency domain sparse attention network is used for processing a frequency spectrum characteristic mode and embedding a differentiable geometric constraint layer. According to the multi-dimensional geological radar data intelligent fusion processing system, through cooperation of a dynamic physical constraint layer and a thermodynamic diagram driven hierarchical scheduling mechanism, cross-dimensional alignment of geological radar multi-dimensional data under strict real-time requirements and a forced anti-interference alignment strategy of a metal interference area are realized by the system; and the problem of position deviation caused by phase jump is effectively solved.

The application discloses a Ku-band satellite chain downlink signal interference suppression method, system, device and medium, and relates to the technical field of wireless communication signal processing. First, an OFDM signal from a satellite chain system is received, the OFDM signal is segmented, and fast Fourier transform is performed on the segmented signal to convert the segmented signal into a frequency domain to obtain a frequency domain signal. Then, an FCME algorithm is used to preliminarily locate a narrow-band interference frequency of the frequency domain signal to obtain an interference range. Further, a frequency offset value is calculated by using an interference frequency determined by DTFT, and then, spectrum shifting is performed on the frequency domain signal according to the frequency offset value, and interference alignment is completed through the spectrum shifting, so that interference suppression of the Ku-band satellite chain downlink signal is realized while spectrum leakage is avoided.

The invention relates to the technical field of radar signal processing, in particular to a self-adaptive distributed radar intermittent sampling and forwarding interference resisting method, which is used for accurately and stably detecting a real target when encountering intermittent sampling and forwarding interference and comprises the following steps of: performing signal-level interference alignment processing through echoes of a plurality of receiving stations; and realizing intra-pulse coherent-level intermittent sampling forwarding interference cancellation fusion processing and optimization under the optimal site combination by adopting a simulated annealing-particle swarm search sequence optimization algorithm. According to the method provided by the invention, by virtue of the characteristics of high power gain of intermittent sampling and forwarding interference and high correlation of homologous interference radiation, the adaptive distributed radar intermittent sampling and forwarding interference resisting method provided by the invention has relatively good robustness in the environment of resisting different types of intermittent sampling and forwarding interference and different interference-to-signal ratios; and the target accurate detection capability in an information battlefield confrontation environment is improved.

The embodiment of the invention provides a signal processing method, device and equipment. In the embodiment of the invention, an orthogonal frequency division multiplexing (OFDM) frequency domain signal to be sent can be acquired; based on an interference alignment constraint condition, determining a precoding matrix; wherein the interference alignment constraint condition indicates that a first signal component and a second signal component fall into different signal subspaces, the first signal component comprises intra-symbol interference ICI introduced by a current symbol and a desired signal, and the second signal component comprises inter-symbol interference ISI introduced by a previous symbol; and performing pre-coding processing on the OFDM frequency domain signal to be sent based on the pre-coding matrix, generating a pre-coded frequency domain signal, converting the pre-coded OFDM frequency domain signal into an OFDM time domain signal, and sending the OFDM time domain signal to receiving end equipment.

The embodiment of the present application discloses a kind of optimization methods and related equipment of heterogeneous network interference alignment, and heterogeneous network interference can be aligned optimization.The method comprises: determining the first position information of each user in target cell in current period;According to the position information of each user and the antenna scanning beam pattern corresponding to target base station, the first digital label corresponding to each user is determined, and the target base station corresponds to the target cell;According to the first digital label, each user is grouped, and the grouping information corresponding to each user is obtained;According to the grouping information corresponding to each user, the heterogeneous network is aligned and optimized.

This application provides a dynamic store location selection method and system based on multi-source spatiotemporal data fusion, relating to the field of commercial site selection technology. The method includes: firstly, acquiring multi-source spatiotemporal and signal data from source and target cities; processing the signal data to obtain enhanced features, then fusing it with the spatiotemporal data to form fused feature representations for each plot; calculating the Pearson correlation coefficient between these representations to determine similar plot pairs; constructing a plot relationship graph using a graph neural network based on this, and generating enhanced feature vectors through feature propagation; combining the source city's natural environment data to generate plot evaluation results from these vectors; and finally, transmitting these results to the target city via a secure link established by an interference alignment algorithm and converting them into scoring features, thereby predicting the site selection score. This application improves the accuracy of cross-city commercial site selection and the reliability of data migration.

This application relates to a method for enhancing giant magnetoresistive (GMR) sensor signals based on multi-channel fusion. The method includes: calibrating the complex domain frequency response of each GMR channel to obtain discrete complex sampled values ​​of differential-mode sensitivity and common-mode response transfer function at a preset frequency set; acquiring multiple original digital signal streams, and obtaining complex spectral data for each channel and frequency slot through framing and short-time frequency domain transformation; obtaining estimated values ​​of the common-mode transfer function of each channel relative to a reference channel through frame-by-frame adaptive blind identification; obtaining a compensated multi-channel time-domain signal sequence through frequency domain consistency compensation, inverse transformation, and time-domain reconstruction; and finally, outputting the enhanced GMR sensor signal through statistical optimal weighted fusion and sparse domain enhancement. This method can accurately suppress common-mode interference, align the frequency domain characteristics of multiple channels, and improve the signal-to-noise ratio and detection sensitivity of the GMR sensor signal.

The application belongs to the technical field of wireless communication, and particularly relates to a system configuration-based interference alignment security transmission method; the method proposes an improved interference alignment simplified algorithm based on an improved interference alignment algorithm, determines to execute which algorithm through the system configuration antenna number, and simultaneously analyzes the feasibility of the algorithm; the application can ensure that the artificial noise and the inter-user interference are aligned at the legal receiving end, the obtained signal transmission and receiving scheme is more stable, and the system operation complexity is effectively reduced.

The invention discloses an Internet of Vehicles communication perception integrated dynamic resource allocation method and system, and belongs to the technical field of intelligent traffic and wireless communication. The method is based on a 5G New Radio NR frame structure, a time slot is dynamically divided into a communication time slot, a sensing time slot and a protection time slot, the stability of a communication queue and the stability of a sensing queue are combined through a Lyapunov optimization framework, and an online dynamic resource allocation problem is designed; for a vehicle-to-vehicle (V2V) scene, a multi-agent depth deterministic policy gradient (MADDPG) algorithm is adopted to realize distributed resource competition collaborative optimization; for a vehicle-to-infrastructure (V2I) scene, a double-delay depth deterministic policy gradient (TD3) algorithm is adopted to optimize centralized resource scheduling of a base station; and the protection time slot adopts an interference alignment technology to eliminate residual signal interference. Through fusion of time slot dynamic division and a double reinforcement learning algorithm, the problems of low resource utilization rate and poor dynamic adaptability in a traditional scheme are solved, and the cooperative efficiency of Internet of Vehicles communication and sensing performance is remarkably improved.

The present application relates to the technical field of radar signal processing, in particular to a kind of adaptive distributed radar anti intermittent sampling retransmission interference method, for when encountering intermittent sampling retransmission interference, accurate, stably detect real target, including through the echo of multiple receiving stations signal level interference alignment processing;Optimization algorithm is realized by using simulated annealing-particle swarm search sequence under the optimal site combination intra-pulse phase reference level intermittent sampling retransmission interference cancellation fusion processing and optimization.The method of the present application is by means of the characteristics of high power gain of intermittent sampling retransmission interference and high correlation of homologous interference radiation, the adaptive distributed radar anti intermittent sampling retransmission interference method proposed, has good robustness in the environment of resisting different types of intermittent sampling retransmission interference and different jamming-to-signal ratio, improves the target accurate detection capability in information battlefield confrontation environment.