12 results about "Multi user detection" patented technology

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.

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 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 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 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.

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.