113 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 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.

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.

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.

The invention provides a 5G NTN waveform anti-rotor-shielding method suitable for helicopter communication, and the method comprises the steps: setting a switching threshold value of an adaptive modulation code and a fountain code, and carrying out the switching according to the channel quality; when the channel quality is good, adaptive modulation and coding are adopted, channel feedback CQI is obtained, and according to the adaptive modulation and coding technology, a proper modulation mode and coding efficiency are selected, and uplink and downlink waveforms of a 5G NTN system conforming to a target modulation mode and a target code rate are constructed; and when the channel quality is poor, using a fountain code, taking the LDPC code under the 5G NTN specification as an outer code, and taking the LT code as an inner code, and constructing uplink and downlink waveforms of the 5G NTN system conforming to the target modulation mode and the target code rate. According to the method, the adaptive modulation coding technology and the Raptor fountain code are utilized, so that the communication quality is ensured under the condition that the helicopter rotor is shielded, and the rotor shielding resistance of helicopter communication is improved.

The invention discloses a media broadcast service processing method and device based on a 5G satellite network and a medium, and can be applied to the technical field of 5G communication. According to the method, after the unregistered terminal obtains the public broadcast channel signal through periodically scanning the frequency band, the broadcast group joining request initiated by the unregistered terminal is obtained, and after the validity verification of the temporary group identifier of the unregistered terminal is passed, the group key is issued to the unregistered terminal passing the validity verification through the satellite network, so that the service life of the unregistered terminal is prolonged. Generating real-time bandwidth allocation information according to the real-time channel feedback information and the real-time network condition information, generating an encrypted broadcast media stream according to the current service demand, and issuing the encrypted broadcast media stream to an unregistered terminal corresponding to the region identifier according to the real-time bandwidth allocation information. And the unregistered terminal decrypts the encrypted broadcast media stream according to the group key to obtain the target broadcast information, so that the unregistered terminal can effectively and timely obtain the broadcast content, and the user experience is effectively improved.

A method implemented by a node, comprising: estimating first downlink (DL) channel information of a first DL channel according to a reference signal received on a first uplink (UL) channel, where the first UL channel is a subset of available UL channels, and the first DL channel corresponds to the first UL channel; receiving channel feedback of a set of DL channels; estimating second DL channel information according to the estimated first DL channel information and the received channel feedback; and performing communication according to the second DL channel information.

The application discloses a mixed multi-resolution channel state information feedback method and device, relates to the technical field of channel state information feedback in a large-scale multiple-input multiple-output system, and comprises the following steps: obtaining an angle-time delay domain channel state information matrix, performing feature embedding on the angle-time delay domain channel state information matrix through an initial feedforward network to obtain initial features; inputting the initial features into a multi-resolution convolution model and a multi-head sharpening attention model in parallel, respectively extracting multi-scale local features and long-distance dependent features, adaptively weighting and fusing the multi-scale local features and the long-distance dependent features through learnable weights to obtain fused features; converting the fused features into low-dimensional feedback code words through a feedforward network, an activation function and a compression mapping, and then adopting local uniform quantization segmentation processing to generate quantized code words, and feeding back the quantized code words to a receiving end to reconstruct channel state information. The application reduces the calculation complexity of channel feedback and quantization loss, and can realize low-latency and high-fidelity channel reconstruction on a resource-limited device.

The application relates to a feedback method for an intelligent metasurface time correlation cascade channel, comprising the following steps: S1, constructing a reconfigurable intelligent metasurface assisted multiple-input multiple-output communication system, comprising a base station, a reconfigurable intelligent metasurface and a single user terminal, determining a cascade channel model of the system, and establishing a cascade channel time-varying model; S2, constructing a channel state information compression and recovery network model based on deep learning, comprising an encoder and a decoder; after the user terminal obtains the cascade channel state information, the channel state information is compressed into code word information through the encoder, and after the base station receives the code word information, the code word is recovered into the cascade channel state information through the decoder. Compared with the prior art, the application solves the channel feedback problem of the time-varying cascade channel of the reconfigurable intelligent metasurface assisted multiple-input multiple-output system, has high information transmission accuracy, reduces the channel feedback overhead, has wide application scenarios, good applicability, lower complexity and better network performance.

The invention discloses a channel feedback information transmission method and device, and relates to the technical field of wireless communication. The method comprises the following steps: a second device receives a first signal from a first device; and the second equipment sends channel feedback information to the first equipment, the channel feedback information indicates quantization information of non-zero coefficients in a coefficient matrix and selection information of the non-zero coefficients, and the coefficient matrix is obtained according to a space domain base and a frequency domain base. The spatial domain base and the frequency domain base meet a first option, a second option or a third option; the first option is that the spatial base is all vectors in a spatial base matrix, and the frequency domain base is all vectors in a frequency domain base matrix; the second option is that the spatial base is a part of vectors in a spatial base matrix, and the frequency domain base is all vectors in a frequency domain base matrix; the third option is that the spatial base is all vectors in the spatial base matrix, and the frequency domain base is a part of vectors in the frequency domain base matrix.

This invention discloses a method for intelligent cascade channel feedback for intelligent metasurface wireless communications, belonging to the field of communications technology. In this method, during the first feedback within the base station-intelligent metasurface channel coherence time, the user compresses the base station-intelligent metasurface-user cascade channel and feeds it back to the base station. In subsequent channel feedback, the user calculates the ratio of the current base station-each intelligent metasurface unit-user cascade channel to the base station-each intelligent metasurface unit-user cascade channel in the initial feedback, compresses the vector consisting of these ratios, and feeds it back to the base station. This method significantly reduces the feedback overhead and complexity of intelligent metasurface-assisted communication systems.