8 results about "Interference alignment" patented technology

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 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 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.