133 results about "Channel feedback" patented technology

The invention relates to the technical field of medicine quality detection, and particularly discloses an optical detection method and system for the content of vitamin tablets. The method comprises the following steps: driving an optical fiber probe array to carry out three-dimensional multi-angle near-infrared scanning through a multi-axis mechanical arm, and collecting reflection spectrum data; a weighted spectrum is generated through derivative spectrum analysis and double evaluation, and auxiliary material noise is corrected and separated in combination with subspace projection and a dynamic kernel function; performing spectral vector projection and regression coefficient iterative optimization through an online PLS model, and synthesizing an error coefficient based on a four-level index retrieval standard library to perform dual-channel feedback; and finally, fusing the credibility weight to output a detection result of the binding confidence. The method realizes nondestructive and high-precision detection of the vitamin tablets, has the beneficial effects of multi-dimensional data fusion, dynamic error compensation and high model adaptability, and remarkably improves the detection accuracy and reliability.

The invention discloses a power distribution switchgear remote monitoring and maintenance method based on the Internet of Things, relates to the technical field of power system operation and maintenance, and solves the problems that in an existing power distribution system, the edge anomaly recognition capability is weak, a control feedback chain is not closed, and multi-terminal control conflicts occur frequently. According to the scheme, a structured time sequence index of multi-source data is constructed on edge equipment, and equipment state drift is judged based on residual function included angle change; a control command management mechanism of a unique transaction identifier is introduced, a dual-channel feedback structure and a control mutual exclusion stack are combined, and a remote command consistency control chain is established; a hidden danger propagation chain is constructed on the cloud based on the abnormal Boolean bitmap and the topological relation, and a multi-node state linkage analysis and risk priority intervention strategy is achieved; according to the invention, the abnormity identification accuracy, the remote control stability and the system-level operation and maintenance response efficiency of the power distribution switch equipment are obviously improved.

The invention relates to the technical field of noise reduction seats, in particular to a subway cab active noise reduction system and method based on a multi-channel feedback algorithm. The device comprises a headrest shell, the headrest shell is installed at the top of a seat of a metro cab through a headrest support, a loudspeaker, an error sensor and a master controller are arranged in the headrest shell, and the headrest shell is sequentially provided with a front shell, a rear shell and a long-strip-shaped check block; the headrest supports are correspondingly installed in the long-strip-shaped check blocks on the two sides of the headrest shell respectively and move up and down along the long-strip-shaped check blocks, and the height of the headrest shell is adjusted. The loudspeakers are tightly attached to the ears of a driver at certain intervals; the error sensor forms a rhombic array covering a vertical range of 10cm; and the main controller is fixed on the front shell through the notch of the rear shell. According to the invention, the parameters of the main acquisition filter and the auxiliary acquisition filter of the main controller are adjusted according to the error signal to continuously adapt to the complex and changeable noise environment in the subway cab, so that stable and efficient active noise reduction is realized.

The invention relates to a low-complexity multi-user hybrid precoding method and system and a storage medium, and belongs to the technical field of wireless communication. According to the method, a hybrid precoding system model is established based on a millimeter wave broadband multi-user communication scene, a steering vector is constructed through channel state information feedback or direction of arrival estimation, an analog precoding matrix is initialized, an equivalent channel is further constructed in combination with channel feedback information, singular value decomposition is carried out, and a digital precoding matrix is generated. And the precoding structures of the receiving end and the transmitting end are iteratively optimized under the constant modulus constraint. The system comprises a modeling module, a steering vector initialization module, a digital pre-coding module and a pre-coding optimization module, and all the modules work cooperatively to realize low-complexity pre-coding design. According to the method, the precoding calculation complexity in a multi-user broadband system is effectively reduced, the stability of precoding design and the spectrum utilization efficiency are improved, and the method has good robustness and engineering realizability and is suitable for a next-generation wireless communication system.

The present application relates to the field of mobile communications, which can be applied to a protocol framework such as NR or 6G, and in particular, to a communication method and apparatus, and a readable storage medium, the method comprising: a UE obtains N pieces of channel information, and sends first information to a base station, the first information being used to indicate a compression feedback mode of the N pieces of channel information, the compression feedback mode comprises one or more of the following items: the number of channel feedback quantities or a corresponding relation between the channel feedback quantities and channel information; wherein one piece of channel information corresponds to one or more channel feedback quantities. By adopting the embodiment of the invention, the flexibility of channel information feedback can be improved.

The present application relates to the technical field of communications, and discloses a channel feedback method and apparatus, a terminal, and a network side device. The channel feedback method of embodiments of the present application comprises: a terminal receives first information from a network side device, the first information being determined on the basis of at least part of second information obtained by means of uplink channel measurement; the terminal executes downlink channel measurement on the basis of the first information, to obtain first channel feedback information; and the terminal sends second channel feedback information to the network side device, the second channel feedback information being determined on the basis of at least part of the first channel feedback information; wherein the second information comprises a first multipath parameter and a mapping relationship between the first multipath parameter and a subarray on the network device side, and the first multipath parameter is a multipath parameter of an uplink channel.

The invention provides a communication method and a communication device, and the communication method comprises the steps that terminal equipment reports a full-channel measurement result to network equipment through two-stage feedback, the first stage feeds back at least one space-frequency base group with non-zero coefficients in matrixes corresponding to the space-domain base set and the frequency-domain base set of all antenna ports of the terminal equipment, and the second stage specifically feeds back the position, with the non-zero coefficients, of each antenna port in all the antenna ports in the at least one space-frequency base group. According to the embodiment of the invention, the resource overhead of full-channel feedback can be reduced through the two-stage feedback method.

The present application belongs to the technical field of communications. Disclosed are channel feedback methods, an apparatus, a terminal and a network side device. One channel feedback method in the embodiments of the present application comprises: executing downlink channel measurement to obtain first information, the first information comprising target information and a mapping relationship between the target information and at least one of a sub-array or signal configuration information of the network side device; and sending second information to the network side device, wherein the second information is determined on the basis of at least some information of the first information, the signal configuration information is used for downlink channel measurement, and the target information comprises at least one of multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measured value and a sensing result of sensing measurement, and a measured value of a sensing performance evaluation index, the first vector and the second vector being both used for downlink communication.

The invention provides an MR training system based on gesture tracking. The MR training system comprises a head-mounted display device, a gesture tracking module, an environment sensing module, a virtual-real fusion engine, a training evaluation module and a multi-channel feedback module. The head display device is integrated with a binocular RGB camera, an infrared ToF depth sensor and a millimeter wave radar array, the RGB camera tracks and positions a hand position through a skeleton and collects a hand image at the same time, the millimeter wave radar array captures submillimeter displacement data of hand micro-motion, and the submillimeter displacement data is transmitted to the head display device through the infrared ToF depth sensor. Transmitting the acquired hand image and displacement data to a virtual-real fusion engine; the infrared ToF depth sensor directly calculates the distance between a target object and the sensor by emitting a modulated near-infrared light pulse and measuring the time difference of light reflected to the sensor, and generates a pixel-by-pixel depth map; a skeleton model of 21 joint points of a hand is constructed, the angle variation of the associated joints is calculated in real time, holding, rotating and pressing operation actions are recognized, and the operation actions are tracked and optimized according to image data and displacement data collected by head display equipment.

Disclosed in the present invention are a geographic position-based high-speed rail mobile communication 6G fully-decoupled network uplink transmission method and system. The method comprises: according to geographic positions of a train and each uplink base station, performing line-of-sight channel mapping, so as to serve as channel estimation to carry out a secondary combining joint reception processing of the uplink signals; designing a deep learning neural network, taking the mapped line-of-sight channel as an input, and outputting a multi-user joint precoding that meets constraint conditions; performing offline training on a network by using historical channel data of each position; in an actual deployment stage, inputting a line-of-sight channel corresponding to the train position, the network outputting a joint precoding at the corresponding position, so as to achieve transmission without feedback. Compared with a traditional precoding design solution, the present invention solves the problem in a high-speed rail scenario of untimely channel feedback and large resource overhead due to high-speed movement, improves the frequency effect of wireless communication in a high-speed rail scenario, and provides an effective uplink transmission method for future high-speed rail mobile communications.

The invention provide a rendering method and an electronic device. The method includes: first, obtaining channel feedback information of an encoded transmission channel, where the encoded transmission channel is used to transmit an encoded bitstream corresponding to a rendered image; subsequently, determining, from a plurality of groups of preset rendering input information, rendering input information corresponding to the channel feedback information, where complexity of the plurality of groups of preset rendering input information is different; then, performing rendering based on the rendering input information corresponding to the channel feedback information, to obtain the rendered image, where content complexity of the obtained rendered image is associated with complexity of the rendering input information corresponding to the channel feedback information.

The invention discloses a phase-control multi-channel nonlinear ultrasonic nondestructive testing system and method based on phase reversal excitation, and the method comprises the steps: generating multi-channel phase reversal waveform data and a control instruction by an upper computer, carrying out the nonlinear parameter extraction of a received digital signal, and calculating a nondestructive testing result; the phase-control high-energy fundamental frequency ultrasonic excitation module suppresses a fundamental frequency signal for the electric signal with the phase reversal waveform, enhances the harmonic amplitude, and performs delay excitation to realize fixed-point focusing; the transmitting transducer array and the receiving transducer array convert the electric signal and the acoustic signal; the multi-path double-band-pass filter is used for carrying out fundamental wave suppression, harmonic wave enhancement and clutter filtering to enhance a nonlinear effect and improve a signal-to-noise ratio; and the phase-controlled ultrasonic acquisition module is used for filtering, amplifying and sampling the multi-channel feedback electric signal and converting the multi-channel feedback electric signal into a digital signal. The method has the multi-channel nonlinear ultrasonic evaluation capability, can realize multi-channel phase reversal waveform excitation, has the ultrasonic fixed-point focusing capability, and remarkably improves the nonlinear effect detection result, so that the detection result is more accurate.

The invention relates to a self-adaptive voice semantic communication method based on hierarchy time sequence importance, which belongs to the field of voice analysis, and comprises the following steps: a sending end performs priority division on a discrete feature matrix according to hierarchy and time sequence attributes of voice features, and screens the features according to importance scores in a feature matrix packaging and selecting link; the method comprises the following steps: interacting with wireless communication through a channel adaptive scheduling module, introducing a channel feedback mechanism, and dynamically adjusting transmission power and a resource allocation strategy by sensing current channel state information; and after completing signal demodulation, a receiving end inputs the acquired sparse feature flow into a voice restoration module, and globally reconstructs the received features by using voice priori knowledge of deep pre-training. According to the method, a hierarchical speech feature extraction technology based on a discrete codebook and a generative semantic repair technology are combined, so that the speech word error rate in a severe channel environment is reduced to the maximum extent, and the semantic intelligibility of a receiving end is improved.

Some embodiments of the present disclosure provide a deep-learning-based framework for designing components of a downlink precoding system. The components of such a system include downlink training pilots and channel estimation based on receipt of the downlink training pilots. Another component involves channel measurement and feedback strategy at the user equipment. The components include a precoding scheme designed at the base station based on the feedback from the user equipment.

The invention discloses a precoding method and device, electronic equipment, a storage medium and a program, and the method comprises the steps: obtaining communication configuration information, and determining the space angles of different users at a satellite side according to the communication configuration information; determining a target interference user of each user based on a space angle threshold and each space angle; determining the average channel power of each user according to the communication configuration information; determining a downlink precoding vector of each user based on the target interference user, the space angle and the average channel power of each user according to an average signal-to-leakage ratio maximization criterion; and weighting the transmitting signal of each user based on each downlink precoding vector to obtain the transmitting signal of each beam. The embodiments of the present invention can reduce beam interference among multiple users, improve spectrum resource multiplexing efficiency, and reduce channel feedback overhead.

The invention discloses a quantum tunneling effect-based random number generation method and system, the system comprises a composite entropy source module, a self-adaptive bias control module, a self-adaptive post-processing module and an output module, the composite entropy source module connects two types of physical effect entropy sources in parallel, and utilizes the noise characteristic complementation of the two types of physical effect entropy sources to improve the entropy value of an original random sequence, so that the random number generation efficiency is improved. The self-adaptive bias control module monitors two kinds of noise output in real time through a double-channel feedback circuit. According to the quantum random number generator, the composite entropy source is combined with the self-adaptive algorithm, so that the quantum random number generator with higher stability and high speed is realized. The method is high in technical maturity, and has a good application prospect in the information security fields such as electric power Internet of Things and mobile terminals.

Provided are a channel feedback method, apparatus and device, the method comprising: a first station receiving a first frame sent by a first access point, the first frame being used for indicating the first station to feed back compressed channel information, the first station being associated with the first access point; the first station receives a second frame sent by the first access point, wherein the second frame is used for the first station to perform channel estimation to obtain first data channel information; the first station sends a third frame to the first access point, the third frame comprises compressed data channel information, the compressed data channel information is obtained by compressing first equivalent data channel information, and the first equivalent data channel information is determined according to the first data channel information and a first smooth left singular vector matrix; the first smooth left singular vector matrix is obtained by smoothing a first left singular vector matrix, and the first left singular vector matrix is obtained by performing singular value decomposition on the first data channel information.

A channel feedback method, apparatus and system. The method comprises: acquiring multipath component information of a communication channel between a first device and a second device; on the basis of a self-supervised neural network, performing processing on the multipath component information and second channel information, so as to obtain intermediate information; and sending the intermediate information, wherein the second channel information is determined on the basis of first channel information and multipath delay information, the second channel information comprises a variable channel impulse response (CIR), the first channel information comprises a channel frequency response (CFR), which is obtained by means of a measurement, and the intermediate information and the multipath component information are used for determining a reconstructed CIR. By means of the solution, channel feedback is performed in combination with multipath component information and a self-supervised neural network, thereby reducing measurement overheads and feedback overheads.

The invention discloses a digital marketing content interaction generation method adaptive to multi-scene delivery of a large model, and relates to the technical field of interaction generation. According to the method, by setting an envelope boundary set modeling mechanism, behavior transition characteristics of a user in different content paths can be accurately described, high-value interaction nodes are effectively identified, and blindness and redundancy of content display are avoided; meanwhile, a double-channel feedback mechanism divides real-time behaviors of the user into high-speed feedback and verification feedback, collaborative linkage of high-frequency response and long-term optimization is achieved, and instantaneity of content scheduling and stability of a strategy are both considered. And in combination with a dynamic exposure frequency matrix and an ordering and rearranging strategy, content delivery has structural self-adaption and multi-scene generalization capabilities, and personalized accuracy and user response efficiency of digital marketing driven by a large model are remarkably improved.

A channel feedback method, apparatus, and system, and a storage medium are provided. An AP sends a first frame to a STA, where the first frame includes at least one of the following segment information: a first segmentation enabling indication and a first segment number M; and the first segment number M indicates that an equivalent frequency domain channel corresponds to M subband channels; and the AP communicates with the STA based on the at least one piece of segment information. The AP indicates the segment information, so that a channel is smooth in each segment. This increases a beamforming gain.

The embodiment of the invention discloses a pre-coding method and device based on an intelligent metasurface, and the method comprises the steps: obtaining unit arrangement information and block information of second network equipment, receiving channel feedback information transmitted by terminal equipment, transmitting first information to the second network equipment, and transmitting the first information to the second network equipment, the first information is used for determining a phase shift matrix of the second network equipment, the first information comprises the channel feedback information and position information of the terminal equipment relative to the second network equipment, and units of the second network equipment can be divided into a plurality of groups, so that a far field hypothesis is established for each group; and meanwhile, the complexity of precoding based on the intelligent metasurface is effectively reduced, the industrialization process is accelerated, the communication efficiency of an intelligent metasurface-assisted communication system is improved, and interference is reduced.

This invention discloses a multimodal perception-based immersive digital interaction system and method, relating to the field of digital interaction technology. The system includes generating user state representations; constructing a dynamic contextual framework; and optimizing interaction strategies through a multi-channel feedback mechanism. This invention achieves deep fusion and dynamic understanding of the user's multidimensional human state and environmental context, significantly improving the system's accuracy in recognizing user intentions and its real-time response; enhancing the naturalness and immersion of the interaction; and enabling the system to continuously adapt and optimize, generating highly personalized, smooth, and context-consistent immersive interactive experiences. This comprehensively solves the key problems of mechanical interaction, delayed feedback, and insufficient immersion in existing technologies.

The present disclosure provides a method and a device for channel information feedback, where the method includes: obtaining, by a beamformer, channel feedback information, where the channel feedback information includes: channel information related to the beamformer and channel information related to other beamformer; the channel information includes: channel information fed back by a beamformee in a same basic service set and channel information fed back by a beamformee in a different basic service set. Channel feedback of multiple sending ends is achieved in the present disclosure.

The invention provides a power module dynamic protection system and method based on multi-parameter real-time monitoring, and relates to the technical field of power module parameter monitoring, and the system comprises a temperature monitoring unit, a stress monitoring unit, a dual-channel feedback control circuit and an execution unit. Monitoring temperature and stress data of the power module in real time through the temperature monitoring unit and the stress monitoring unit; the dual-channel feedback control circuit independently processes the temperature data and the stress data to obtain absolute values and change rates of the temperature and the stress, and threshold values are set according to the absolute values and the change rates of the temperature and the stress to carry out dynamic protection judgment on the power module; and the execution unit executes dynamic protection on the power module according to a judgment result fed back by the dual-channel feedback control circuit. According to the invention, cooperative monitoring means of temperature and stress are fused, layered guarantee of soft protection and hard protection is adopted, and timely and intelligent dynamic protection of the power module is realized.

The invention belongs to the technical field of mobile communication, and particularly discloses a communication and sensing integrated RIS intelligent coverage optimization system and method, and the system comprises an intelligent cooperative control center, a train signal terminal disposed on a train, a plurality of 6G communication and sensing integrated base stations disposed at intervals along a train route, and a plurality of RIS array modules disposed at intervals along the train route. Through collaborative optimization of the 6G communication and induction integrated base station and the RIS array, a 6G signal propagation path can be accurately remodeled, the problem of signal attenuation in a weak coverage area is effectively solved, the 6G signal receiving power of a train is improved, and continuous coverage of 6G high-bandwidth services is guaranteed; doppler frequency shift can be accurately offset through dynamic phase adjustment, so that the signal distortion rate is reduced, and the stability of 6G communication of a train in a high-speed running state is ensured; and the channel feedback time delay of traditional base station switching can be eliminated, the success rate of uninterrupted signal switching is improved, and the continuity of 6G key services such as train control and passenger service is guaranteed.

The present application relates to devices and components including apparatus, systems, and methods to utilize auto-encoding for channel state information feedback.

The embodiment of the invention discloses a pre-coding method and device based on an intelligent metasurface, and the method comprises the steps: obtaining the unit arrangement information and block information of second network equipment, receiving the channel feedback information sent by terminal equipment, and carrying out the pre-coding of a plurality of blocks of the second network equipment according to the channel feedback information, according to the unit arrangement information and the block information, determining first indication information, the first indication information being used for determining a phase shift matrix of the second network device, and sending the first indication information to the second network device, so that the units of the second network device can be divided into a plurality of groups, and a far-field hypothesis is established for each group; and meanwhile, the complexity of precoding based on the intelligent metasurface is effectively reduced, the communication efficiency of an intelligent metasurface-assisted communication system is improved, and interference is reduced.

Some wireless communication systems utilize channel feedback to improve communication reliability or quality. For example, a network entity may transmit a channel state information reference signal (CSI-RS) to a user equipment (UE). The UE may determine channel state information (CSI) feedback based on the CSI-RS and send the CSI feedback (e.g., a CSI report) to the network entity. The network entity may utilize the CSI feedback to perform power control, resource allocation, or scheduling. Some examples of the techniques described herein may enable joint source encoding for multiple configured CSI-RS resources within a CSI report. Some of the techniques described herein may allow for expanded CSI reporting, which may enable greater visibility and control of communications based on channel conditions, which may enhance link quality and performance. For example, joint source encoding of parameters may compress the information, allowing more parameters to be communicated with enhanced efficiency.

The invention discloses a zero-overhead environment adaptive intelligent channel feedback method, and belongs to the technical field of communication. The method comprises the following steps: collecting channel data in different scenes and information representing scene characteristics of corresponding scenes; pre-training a relatively universal channel feedback neural network model by using the collected channel data of the mixed scene; a super network or an equivalent structure is used to introduce information representing scene features, and parameters of a pre-training feedback neural network model are finely tuned, so that the model learns feature information in a propagation scene. According to the method disclosed by the invention, zero-overhead environment self-adaptive channel feedback is realized by utilizing the information representing the scene characteristics, and the high adaptability of the channel feedback network to the environment is effectively improved.

The present invention discloses a downlink physical layer channel feedback transmission method based on a wireless map, which relates to the field of wireless mobile communication technology. It includes: S1. Obtain the user location information of user k when moving in the spatial domain, and upload the user location information to the edge cloud; S2. The edge cloud inputs the user location information into the complex precoding network based on the wireless map; S3. The complex precoding network generates the precoding decision w of user k k , and transmits the precoding decision w k to the base station; S4. The base station executes the precoding decision w k for realizing physical layer information transmission. By proposing a downlink transmission mechanism for physical layer channel feedback and designing a complex precoding network based on the wireless map, the present invention effectively improves the transmission efficiency of physical layer information in wireless communication.