20 results about "Multi user detection" patented technology

The embodiment of the invention relates to the field of data processing, and provides a low-complexity multi-user detection method and device in a satellite Internet of Things scene, and the method comprises the steps: building a satellite communication channel model of an uplink low earth orbit (LEO) satellite Internet of Things system based on a large-scale multiple-input multiple-output (mMIMO) model; determining a second satellite communication pilot signal received by the satellite side based on a satellite communication channel model of the uplink LEO satellite Internet of Things system and a first satellite communication pilot signal sent by the user side; carrying out sparse characteristic mining processing on the second satellite communication pilot signal to obtain a sparse characteristic and a quantized receiving signal; carrying out sparse signal recovery processing based on the sparse characteristic and the quantized received signal to obtain a reference channel estimation matrix; performing multi-user detection according to the channel uncertainty and the reference channel estimation matrix to obtain speed reliability relation data; and under the condition that the speed reliability relation data meets a first preset condition, determining the reference channel estimation matrix as a target channel estimation matrix.

A multi-user detection and distance measurement method based on a thermal array sensor, called TADAR for short, comprises the following steps: collecting environmental thermal radiation data by using the thermal array sensor, and generating a 2D temperature map; preprocessing the 2D temperature map, and pooling the human body region to form a temperature feature vector; and estimating the distance between the user and the sensor by using the feature vector and a regression model. In addition, individual users are distinguished and confirmed by spatio-temporal tracking techniques, and TADAR supports multi-user detection and separation. The TADAR has the advantages that the temperature reading of each part of the body is fully utilized, so that the distance measurement accuracy is improved; moreover, training is not needed, texture-free, low-resolution and high-noise thermal array data can be processed, and a plurality of users can be effectively detected and separated. Besides, the TADAR utilizes space and time sequence information, so that accuracy and robustness in different environments are ensured, and a solution which gives consideration to imaging resolution and privacy protection is provided for ubiquitous human body perception.

The invention provides an Internet of Things large-scale multi-user detection method based on accurate structure learning. The method comprises the following steps: acquiring a base station receiving signal and an equivalent channel matrix, and initializing a sparse proportion, a noise variance and a maximum iteration number; executing signal estimation under the constraint of a user frame sparse model, wherein the user frame sparse model requires that the active user sets of all time slots are the same; the method comprises the following steps of: (a) executing accurate structure learning based on a memory linear estimation result, and updating a user active probability through full-time-slot Bayesian fusion; (b) generating a detection output in the non-linear estimation; (c) when iteration continues, optimizing the intermediate variable by adopting dynamic damping control; (d) performing multi-time-slot joint optimization on the sparse proportion and updating noise parameters; and (e) judging an iteration state based on the reconstruction error: if a termination condition is met, outputting a detection result, otherwise, returning to the step (a).

The invention discloses a multi-user detection method and device based on an expansion factor graph and a graph attention network, and the method comprises the steps: carrying out the multi-time oversampling of an asynchronous uplink signal of a receiving end, obtaining a plurality of sampling observations in each symbol period, and constructing the expansion factor graph based on the sampling observations; performing feature extraction on the oversampling receiving signal, and taking a real part and an imaginary part as deep neural network input to obtain node features; and a graph attention network is introduced into the expansion factor graph to carry out information interaction and model training, and a model obtained by training is utilized to judge signals received by each user, so that multi-user joint detection is realized. According to the method, the oversampling signal is modeled into the expansion factor graph structure, and the graph attention mechanism is introduced, so that effective detection of the multi-user signal in the asynchronous SCMA system is realized, and the problems of high multi-user detection complexity and insufficient asynchronous interference resistance in an uplink asynchronous SCMA scene are solved.

The invention provides a sparse code multiple access (SCMA) message passing detection system and method suitable for 2FSK modulation. The method comprises the implementation steps that a channel coding module codes original binary data information of a user; the 2FSK modulation module is used for modulating a channel coding bit sequence; the SCMA mapping module carries out SCMA sparse mapping on modulation symbol sequences of all users; the 2FSK coherent demodulation module is used for carrying out 2FSK coherent demodulation on the received signal; and the message transmission detection module performs multi-user detection on the demodulated output signal. The 2FSK coherent demodulation module carries out SCMA sparse mapping on modulation symbol sequences output by a plurality of 2FSK modulation modules and carries out 2FSK coherent demodulation on a plurality of mapped receiving signals, the message passing detection module detects output signals obtained through demodulation in two frequency states through a factor graph model, and the detection precision is high.

The application discloses a multi-user detection method and system based on and mode check auxiliary filtering logic decoding, and relates to the technical field of non-orthogonal multiple access and multi-user detection in wireless communication. The application is to solve the problem that the existing multi-user detection method is difficult to reduce complexity while ensuring that the error code performance does not be lost. The application comprises the following steps: converting a user overload spread spectrum codebook into an F-E form to obtain an F-E form codebook; obtaining a symbol level detection result of an MSP by using a receiving end receiving signal; constructing a linear mapping function based on the F-E form codebook; then obtaining a corresponding MSS set by using the linear mapping function; if the corresponding MSS set is a single element set, it indicates that the MSC criterion is met, and the symbol level detection result of the MSP corresponding to the MSS is output; otherwise, it indicates that the MSC criterion is not met, and a traditional user detector is called to recover the MSS. The application is used for realizing multi-user detection.

The invention provides a radio station adaptive joint coding modulation method applied to a severe channel environment, and the method supports interconnection and intercommunication of a plurality of radio stations, and comprises a transmitting end and a receiving end. Wherein the data processing process of the sending end is as follows: data to be sent and a reference signal form a data frame according to a frame format, and scrambling interleaving processing is carried out; performing polarization coding on the processed data frame; sCMA coding is carried out; self-adaptive chirp spread spectrum modulation is carried out; the data processing process of the receiving end is as follows: the receiving end radio station synchronizes the received chirp modulation signal and then performs incoherent demodulation; channel signal-to-noise ratio estimation is carried out; sCMA multi-user detection is carried out on the demodulated data information; and performing CRC (cyclic redundancy check). According to the invention, interconnection and intercommunication of a large number of radio stations can be realized by occupying less time-frequency resources in a severe channel environment.

The invention belongs to the technical field of wireless communication, and particularly relates to a symbiotic wireless communication multi-user detection method based on low-activeness code division multiple access. According to the method, reflection symbols are set based on the activeness of backscattering equipment, so that receiving signals are constructed, then, for the purpose of jointly detecting main signals and reflection signals, in order to improve efficiency, an S-SIC detector algorithm is provided, and compared with a traditional detector adopting a Maximum A Posteriori (MAP) algorithm, the efficiency of the S-SIC detector algorithm is improved. The complexity of the S-SIC detector algorithm provided by the invention is reduced from an exponential level to a polynomial level.

This invention discloses a data processing method, apparatus, device, storage medium, and program product, which receives an encryption key sent by at least one terminal device. The encryption key is obtained by the terminal device encrypting original data based on a pre-configured SCMA codebook and a first encryption phase vector from a network device, and the encryption key is mapped to a pre-configured sparse time-frequency resource location on the network device. A second encryption phase vector matching the first encryption phase vector is generated. Multi-user detection and decoding are performed on the encryption key based on the second encryption phase vector to obtain the original data corresponding to each terminal device. Using this invention, data security during transmission can be effectively improved, data leakage can be avoided, and the cross-terminal transmission security requirements for sensitive data in a cloud environment can be met.

The invention discloses a low earth orbit satellite-oriented cross-domain multi-user detection method and system, and mainly solves the problems that multi-user signal superposition is difficult to distinguish and false detection is easy to occur in a traditional detection method in the prior art. According to the implementation scheme, the method comprises the following steps: performing pilot interference elimination on a TD domain receiving signal to obtain a pure receiving data signal; constructing a cross-domain channel matrix by means of the symbol-level scrambling code matrix, and mapping DD domain symbols to a TD domain; the received data signal is represented based on the conditional probability density, and the bit log-likelihood ratio LLR of the DD domain symbol is calculated; performing descrambling and soft decoding according to the log-likelihood ratio, and iteratively updating the prior mean value and variance of a DD domain symbol; and after the maximum number of iterations is reached, performing hard decision on the log-likelihood ratio vector of soft decoding, and finally obtaining multi-user data information. According to the method, the accuracy and stability of multi-user detection can be improved, the overall calculation complexity is reduced, and the method can be used for multi-user detection during unauthorized random access of large-scale equipment in the low earth orbit satellite Internet of Things.

The application relates to the technical field of communication, in particular to a low-complexity multi-user information processing method for an interleaved frequency division multiple access system, which comprises the following steps: a receiving end receives receiving signals of multiple time slots; for each time slot, an iterative processing is performed on the receiving signal by using a multi-user cross-domain orthogonal approximate message passing receiver to obtain a decoding signal after the iterative processing; and the decoding signal is determined as sending information of each user. The method can significantly reduce the calculation complexity of multi-user detection, improve the reliability of multi-user detection, avoid error propagation, provide a basis for system capacity analysis and optimal coding design, realize a breakthrough in theoretical performance, and further improve the overall transmission performance of the system while maintaining low complexity.

The invention relates to the technical field of communication, and discloses a PDCCH (Physical Downlink Control Channel) optimization processing system based on NR (Noise Ratio) architecture, which comprises a channel state information acquisition module used for acquiring dynamic channel characteristic parameters; the dynamic resource allocation module is used for generating a resource block allocation strategy through a reinforcement learning algorithm based on the parameters and screening a target resource block set; the interference coordination module is used for calculating an interference covariance matrix and generating an interference suppression beam weight; the multi-user detection module is used for carrying out serial interference elimination by adopting a non-orthogonal multiple access technology; the system also comprises modules of adaptive modulation coding, channel estimation optimization, time-frequency synchronization, control information packaging, power distribution, feedback mechanism and the like. All the modules work cooperatively, so that the problems of resource allocation, interference coordination, multi-user detection and the like of a PDCCH (Physical Downlink Control Channel) under an NR (Noise Ratio) architecture are effectively solved, the performance of a communication system is improved, and the requirements of 5G and future mobile communication networks are met.

The invention belongs to the technical field of wireless communication, and discloses an adaptive subspace tracking multi-user detection method combined with channel estimation. Firstly, part of active users in the large-scale users send spread spectrum signals to a base station, and uplink access transmission is executed; then, the base station receives uplink signals of multiple users, models the uplink signals into block sparse vectors, and reconstructs a new uplink received signal compressed sensing equation by using the vectors; and then, the base station carries out channel estimation to judge the current channel environment, and adopts a block sparse adaptive subspace tracking algorithm based on step length initial value optimization and Pearson correlation coefficients to execute active user detection and reconstruct user sending data. The method is suitable for a large-scale authorization-free uplink transmission system, and can realize joint efficient detection of a plurality of active users and uplink transmission data thereof.

The invention discloses an asynchronous code division multiple access underwater wireless optical communication system multi-user access method based on optical wireless access point direction self-adaption, and belongs to the technical field of wireless optical communication. According to the method, user azimuth angle estimation and communication are synchronously realized at an OAP end by utilizing a detector array, and a receiving end direction self-adaptive mechanism is implemented based on multi-user detection and arrival angle information so as to maximize the system capacity. And a multi-user access control strategy is formed by further combining a dynamic code word distribution protocol. According to the method, the difficulty in underwater clock synchronization is overcome, the throughput, the number of users and the fairness are improved by optimizing the OAP space orientation, and an effective solution is provided for practical application of UOWC multi-user communication.

The invention discloses an underwater IDMA iterative multi-user detection method and system based on polarization coding. The method comprises the following steps: a transmitting end performs polarization coding, repeated spread spectrum coding and interleaving processing on a bit sequence of each user, and transmits the bit sequence to a receiving end; a receiving end carries out initial channel estimation based on the training sequence and a continuous interference elimination algorithm, inputs an estimated channel and an original received signal into a basic signal estimator, and carries out chip-by-chip multi-user detection to obtain log-likelihood ratio information of each user; the external information is subjected to de-interleaving and de-spread spectrum processing and then serves as prior information to be input into a polarization code decoder for channel decoding, a decoding result and decoding soft information are output, and the decoding result is used for reconstructing and eliminating multi-access interference so as to update channel estimation. The polarization code and the IDMA structure are combined, and channel estimation and user detection are iteratively optimized, so that the anti-interference capability and the multi-user detection performance are effectively improved, the communication reliability is enhanced, and meanwhile, a higher data rate can be supported.

The application provides a SCMA system multi-user detection method and device, communication equipment and a readable storage medium. The method comprises the following steps: determining a decoding order priority according to a channel parameter of each user in a user set; performing message iteration on to-be-decoded data based on the decoding order priority, and determining probability information of a code word sent by each user; determining a bit error rate of each user according to the probability information corresponding to each user and a user code word decision threshold; removing a target number of users in front of the decoding order priority from the user set to update the user set; and updating the user code word decision threshold of each user in the user set according to the bit error rate of each user in the updated user set, so as to perform cyclic detection on the updated user set. Through the above method, the success rate of user detection of a receiving end of a SCMA system can be improved.

The present application relates to a kind of multi-user detection method and system based on BGIG-SBL, the method includes the following steps: step S1, the received signal and equivalent channel matrix of base station are obtained, initialize parameter and hyperparameter, set iteration number initial value and iteration termination condition;Step S2, parameter is updated using variational bayes inference under the prior model based on Bernoulli Gaussian inverse gamma;Step S3, judge whether to meet iteration termination condition, if meet, output reconstruction signal, if not meet, continue to repeat step S2 until meeting iteration termination condition.The method and system are beneficial to improve multi-user detection performance.

Disclosed are a data aggregation and load balancing method and system based on optimal multi-user detection. The method comprises: deploying a GT receiver in a satellite constellation; constructing a channel model on the basis of the satellite constellation, and using a random access mechanism in an MAC layer; the GT receiver receiving wireless signals from a plurality of relay nodes; on the basis of the channel model, calculating signal-to-noise ratios of the received signals of the GT receiver, and filtering out the wireless signal having the signal-to-noise ratio lower than a signal-to-noise ratio threshold; using an optimal multi-user detection algorithm to reconstruct information of each user from the filtered received signals; using a parallel interference cancellation technique to cancel multiple access interference from other users in the reconstructed information of each user; using a K-nearest neighbor classifier to cluster the multi-user wireless signals from which the multiple access interference is canceled to form a signal matrix; and performing load balancing on signal data in the signal matrix. The present invention reduces possible channel jamming caused by multiple access while achieving signal enhancement, and achieves load balancing by using software load technology.

The application discloses a 5G base station cascade battery energy storage system battery recycling quantity prediction method and device, comprising: establishing the input and output model of the system under different digital signal processing schemes using low-precision ADC; constructing an ADC-quantized received signal model under different multi-user detection schemes; calculating the upper limit of the transmission rate; calculating the minimum energy allocation scheme when the rate of each user is given based on the upper limit of the transmission rate; calculating the total power of the base station; and calculating the target recycling battery capacity. By using the technical scheme of the application, the accurate cascade utilization battery demand quantity is provided for different cascade battery capacities under different precision ADC and digital signal processing technologies of the base station, so that the required quantity can be accurately controlled by a waste old power battery recycling enterprise, and the economy of cascade utilization is improved.

The invention discloses a GNN enhanced MRC-MP-based power domain NOMA-AFDM system multi-user detection method, and belongs to a multi-user communication system and a signal detection technology thereof. According to the invention, the power domain multiplexing technology is combined with the AFDM waveform, and the spectrum efficiency of the system is obviously improved through the non-orthogonal superposition transmission of the multi-user signal on the time-frequency resource block. According to the invention, under the condition that the same resource overhead is maintained, the access of more users can be supported, and the massive connection demand in a future large-scale Internet of Things scene is effectively solved. In the technical implementation level, a double-loop MRC-MP detection architecture is adopted, the sparse characteristic of an AFDM channel presented in a delay-Doppler domain is fully utilized in inner loop detection, and a reliable initial symbol estimation value is obtained through an MRC algorithm. According to outer ring detection, performance loss caused by band-limited matrix approximation in inner ring processing is dynamically compensated through an iterative external information exchange mechanism, and a closed performance improvement loop is formed. According to the invention, the multi-user detection performance is obviously improved.