2167results about "Baseband system details" patented technology

A wireless communication method and system enabling dynamic multi-path data transmission and reception across heterogeneous radio access networks. The method includes selecting between sequential, concurrent, or redundant multipath transmission strategies based on real-time measurements of link quality parameters, including signal-to-interference-plus-noise ratio (SINR), reference signal received power (RSRP), delay, and spectrum availability. The system further enables adaptive transmission power control, modulation scheme selection, and carrier configuration based on physical layer feedback, minimizing interference and optimizing spectral efficiency. Peer-to-peer communication between terminals is supported without base station mediation, reducing RAN load. Multi-base station connectivity is enabled, allowing terminals to simultaneously transmit through multiple nodes and aggregate at the core network. The architecture supports real-time topology control, dynamic link adaptation, and transmission parameter adjustment based on physical-layer constraints.

The invention relates to the technical field of RFID tag signal optimization, and discloses an RFID tag signal optimization method and system based on deep learning. According to the method, feature extraction is carried out on a backscattering signal, core features of a multipath channel are quantized from a frequency domain and a time domain respectively, numerical representation of a channel state is further obtained, then obtained data information is used as input of a deep learning network, training and forward calculation are carried out, original emission parameters are adjusted, and a multi-path channel is obtained. Therefore, the conversion from blind extensive control to precise control of the transmitting end is realized, so that the problem of mismatching of parameter control and channel state caused by information splitting of the transmitting end and the receiving end in the prior art is solved; according to the signal optimization method for realizing joint adjustment of transmitting and receiving parameters through an end-to-end deep learning architecture, the optimization effect of an RFID tag signal in a complex environment is remarkably improved.

The invention relates to the technical field of low earth orbit satellites, and discloses a method and equipment for improving the signal-to-noise ratio of a low earth orbit satellite signal, and the method comprises the steps: carrying out the multi-dimensional signal collection and processing of a received signal of a low earth orbit satellite downlink, and obtaining a signal tensor model; executing structured decomposition based on the signal tensor model to obtain a channel factor matrix group; performing multi-stage sequential processing according to the channel factor matrix group to obtain low-orbit satellite channel state information; inputting the low-orbit satellite channel state information into an interference identification module for feature extraction and interference type analysis to obtain an interference type and probability distribution thereof; performing multi-dimensional adaptive filtering on the received signal to obtain a target signal; and performing modulation coding and beam forming parameter joint optimization on the target signal and the low-earth-orbit satellite channel state information to obtain a low-earth-orbit satellite communication link, thereby solving the problem of large fluctuation of the signal-to-noise ratio in a satellite rapid moving scene, and realizing balance of power efficiency and anti-interference performance at the same time.

The present disclosure relates to a method for operating a terminal and a base station in a wireless communication system and an apparatus for supporting the same. In an embodiment of the present disclosure, a method for operating a terminal in a wireless communication system may include: transmitting a first message including information related to learning; receiving a second message including configuration information for learning; transmitting an uplink reference signal; and transmitting channel information related to a downlink channel measured based on a downlink reference signal.

The invention relates to the technical field of satellite communication signal processing, and discloses a broadband satellite signal blind demodulation reconstruction method and system based on sparse representation. The method comprises the following steps: carrying out frequency domain transformation on broadband satellite mixed signals to extract pilot frequency features to construct a beam state feature matrix, inputting the matrix into an adversarial network to generate a beam adaptive sparse dictionary, constructing a topological relation graph according to a Doppler frequency shift set, and carrying out collaborative sparse decomposition to obtain a sparse coefficient matrix; and extracting a code rate candidate set to execute parallel sparse reconstruction, determining an actual code rate through self-consistency verification to obtain a complete signal, analyzing a switching instruction, extracting time sequence statistical characteristics, predicting target domain characteristics, generating a switched sparse dictionary, and executing demodulation. The sparse decomposition precision, the code rate blind estimation accuracy, the cooperative processing efficiency and the switching continuity of the broadband satellite mixed signals are improved.

In order to estimate a channel in a wireless communication system, a method of operating a base station may comprise transmitting configuration information for at least one downlink reference signal, transmitting the at least one downlink reference signal, transmitting configuration information for an uplink reference signal to at least one user equipment (UE), receiving channel information from a reflecting intelligent surface (RIS), transmitting control information indicating a scheduling result for transmitting downlink data to the at least one UE, and transmitting the downlink data to the at least one UE according to the scheduling result.

The invention provides a compensation factor determination method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of communication. According to the method, the traditional real-time index operation is replaced by a mode of pre-storing the time offset compensation factor value and searching the time offset compensation factor value by searching the address index, so that the hardware resource consumption is effectively reduced, the calculation delay is obviously reduced, and the high real-time requirement of the base station on the PUSCH channel estimation is met.

The invention discloses a multi-antenna joint precoding Gbit wireless transmission system, which relates to the technical field of wireless communication and comprises a frequency spectrum channel acquisition module, a signal preprocessing module, a precoding joint optimization module, a transmission performance evaluation module and a closed-loop parameter control module. The spectrum channel acquisition module acquires signal data and evaluates a transmission bit error rate and a signal-to-noise ratio by using a spectrum analyzer; the signal preprocessing module performs denoising and normalization and constructs a channel model; the precoding joint optimization module dynamically adjusts precoding and suppresses bit error diffusion; the transmission performance evaluation module calculates a data rate and optimizes protocol design; and the closed-loop parameter control module dynamically configures system parameters to guarantee closed-loop optimization. According to the method, the transmission efficiency and the stability of a Gbit wireless transmission system are remarkably improved, a complex channel environment is effectively dealt with, the bit error rate is reduced, the data rate is improved, a transmission protocol is optimized, intelligent dynamic adjustment of system parameters is realized, and the optimal performance of a multi-antenna joint precoding technology is ensured to be exerted.

The present specification provides a method and a device, in which a terminal receives at least one piece of control resource set (CORESET) configuration information in a wireless communication system, the method comprising: performing initial access with a base station; receiving the at least one piece of CORESET configuration information from the base station; and monitoring a physical control channel (PDCCH) on a CORESET configured on the basis of the at least one piece of CORESET configuration information, wherein a duration of the CORESET on the time axis includes four or more symbols.

The utility model discloses an intelligent communication antenna system capable of self-adapting to signal intensity, which is characterized by comprising an environment sensing module, a signal processing module and a fuzzy calculation adaptation module, and the environment sensing module, the signal processing module and the fuzzy calculation adaptation module are electrically connected. The environment sensing module comprises a signal state monitoring unit and a physical environment sensing unit; according to the utility model, through the arrangement of the environment sensing module and the fuzzy calculation adaptation module, if the attitude of the unmanned aerial vehicle changes in the driving process, the system can realize the dynamic prediction of the unmanned aerial vehicle according to fuzzy calculation in combination with the effects of multiple sensors such as a radar and a sensor, and can adjust the antenna parameters in time; according to the device, dynamic adaptation is realized through closed-loop feedback and sensing-processing-adjustment, so that the antenna signal strength can be adaptively switched when the attitude of the unmanned aerial vehicle changes quickly.

Disclosed are a channel estimation method, apparatus and device, and a storage medium, which relate to the technical field of communications, comprising: acquiring a channel parameter and a channel coefficient matrix of a pilot symbol based on received signal data, the channel parameter being a channel model parameter of non-ground network communication; determining a first wiener filter tap coefficient from a preset typical wiener filter tap coefficient set according to the position combination of the channel parameter and the pilot symbol; and determining a time domain channel estimation result of the received signal data according to the first wiener filter tap coefficient and a channel coefficient matrix of a pilot symbol. According to the technical scheme, the channel estimation process in a non-ground network communication scene is simplified, and the real-time performance of time domain channel estimation is improved on the premise of ensuring the accuracy of a channel estimation result.

The invention discloses an uplink subsystem complexity reduction method based on a PCMA technology, and relates to the technical field of high-capacity wireless transmission system design and complexity control, and the method comprises the following steps: collecting uplink signal parameters through spectrum analysis, bit error rate test and MIMO detection, obtaining channel characteristics through a pilot frequency and a Gray sequence, and obtaining the complexity of a high-capacity wireless transmission system; baseband data are generated, scene features are extracted, Wiener filtering and iterative soft decision feedback algorithms are adopted to optimize filtering and coding, channel and coding performance is evaluated, transmission strategies are dynamically adjusted through a gigabit network interface, clocks are unified, synchronization is optimized, and the complexity of a PCMA uplink system is reduced. The complexity of an uplink subsystem is effectively reduced through the PCMA technology, the efficiency and the stability of a high-capacity wireless transmission system are improved, efficient utilization of resources and improvement of synchronization precision are achieved by accurately collecting signal parameters, optimizing filtering and coding and dynamically adjusting a transmission strategy, and the method is suitable for large-scale popularization and application. And powerful support is provided for the development of a wireless communication system.

The invention provides a channel estimation method and device, electronic equipment and a storage medium, and the method comprises the steps: determining and constructing a time delay grid parameter and a Doppler frequency shift grid parameter of a target domain channel, obtaining a receiving end pilot symbol matrix, then determining a singular value of the receiving end pilot symbol matrix, and carrying out the screening, thereby obtaining a rank estimation value; determining user sparseness information of each user in the target domain channel, and obtaining a channel sparseness parameter based on the rank estimation value and the user sparseness information; estimating based on a pilot symbol matrix of a receiving end, estimating a target domain channel after obtaining a column sampling sub-matrix, and finally obtaining a channel estimation matrix; and obtaining receiving end vector information, and estimating the receiving end vector information through the channel estimation matrix to obtain sending end vector information. According to the method, the accuracy of channel estimation and the reliability of the system are effectively improved, meanwhile, the calculation complexity is remarkably reduced, and the method is particularly suitable for an mMIMO-OTFS system in a high-mobility and complex channel environment.

The invention discloses an HRR-based acoustic fire hazard type identification method, device and equipment and a medium, and relates to the technical field of fire hazard detection, and the method comprises the steps: obtaining an original acoustic signal through transmitting a high-frequency modulation ultrasonic wave and receiving a flame region reflection echo, obtaining channel impulse response data through channel estimation, and carrying out the channel impulse response data; flame features are extracted, a heat release rate curve is calculated and generated, finally fire type identification and fire behavior stage determination are completed based on the curve, dense smoke, shielding and illumination interference can be resisted, accurate quantification of the heat release rate is realized, fire type identification and fire behavior development stage determination can be finely carried out, and the accuracy of fire behavior determination is improved. And a stable and reliable technical support is provided for fire monitoring and emergency decision making.

The invention relates to the technical field of digital-analog hybrid integrated circuit design, and particularly provides a FlexRay bus receiver with low noise and wide common-mode input range, which is characterized in that a common-mode voltage division module receives a differential signal output by a bus and carries out voltage division, and then a pre-amplification module carries out amplitude limiting amplification on the signal after voltage division; the hysteresis comparator module generates threshold hysteresis and generates a logic level signal based on the signal after amplitude limiting amplification, and the digital logic receiving module receives and processes the logic level signal, generates a receiving data signal and transmits the receiving data signal to an external controller. According to the invention, the differential signal pair received on the FlexRay bus is subjected to voltage division and amplitude limiting amplification, so that a wider common-mode input range is provided, the problem of large ground potential difference is solved, and the capability of suppressing common-mode noise and the communication stability are improved. Meanwhile, the hysteresis comparator module suppresses noise false triggering by generating threshold hysteresis, and the anti-noise capability of the receiver is remarkably improved.

The invention discloses a reconfigurable intelligent surface (RIS)-assisted multiple-input-multiple-output (MIMO) implicit channel estimation method based on a graph attention network, which is used for efficient downlink transmission in a multi-user scene. Firstly, a graph attention network is designed, user nodes and RIS nodes are modeled in a unified mode, received pilot signals serve as initial features, spatial feature expression is enhanced in combination with user three-dimensional position information, and therefore interference between users and a spatial correlation structure are accurately represented; secondly, end-to-end feature aggregation is achieved based on a message passing mechanism, a base station beam forming matrix and an RIS reflection coefficient are directly predicted under the condition that explicit channel estimation is not needed, and the total transmitting power constraint and the unit mode constraint are met through normalization processing so as to complete joint optimization; according to the method, the users and the speed of the system can be remarkably improved under limited pilot frequency overhead, and the method has excellent generalization performance and robustness in a multi-user complex propagation environment.

Disclosed are an auxiliary pilot adaptive optimization method, apparatus and device, and a medium, which relate to the technical field of wireless communications, and solve the problems of static configuration, resource waste and single function of the existing auxiliary pilot. An auxiliary pilot frequency sequence is designed into a synchronous prefix and an estimation core section, and the synchronous prefix adopts a pseudo-random sequence with high autocorrelation and is used for timing synchronization (positioning through a sequence autocorrelation peak value) and frequency synchronization (calculating frequency offset through a phase difference) in a demodulation process; the estimation core section adopts an orthogonal sequence with a low peak-to-average ratio and is used for accurate channel estimation; the double-segment sequence is connected through a preset code pattern, and it is ensured that a demodulation end can perform synchronous analysis. By sensing the channel state in real time, parameters of the auxiliary pilot frequency are dynamically adjusted, and a synchronization function is fused, so that the demodulation performance and the resource utilization rate are improved.

Wireless communications are described. A wireless device and / or a base station may determine / select one or more beams for transmission of signals (e.g., sounding reference signals, SRSs) in one or more cells. The wireless device and / or the base station may determine / select a beam based on one or more of: cell indicators of a first cell and / or a second cell, antenna panel indicators associated with SRS transmissions, priorities of SRS transmissions, resource set indicators corresponding to the SRS transmissions, and / or other information.

The present disclosure relates to estimating a channel in a wireless communication system, and a method for operating a user equipment (UE) may a method for operating a user equipment (UE) in a wireless communication system may include receiving configuration information related to channel measurement from a base station, receiving reference signals for the channel measurement, generating channel information by using the reference signals, and transmitting the channel information to the base station. The reference signals may be transmitted from the base station, reflected in portion of reflecting surfaces included in a reflecting intelligent surface (RIS), and then received by the UE, and the configuration information may include information indicating a number or location of at least one off-reflecting surface among the reflecting surfaces.

The invention belongs to the technical field of wireless communication and artificial intelligence, and discloses a multi-mode semantic communication method and device oriented to multiple tasks, which avoid low-layer signal coding transmission of original data through extraction and transmission of semantic features, realize end-to-end optimization and channel adaptive robust transmission of semantic level communication, and improve the communication efficiency. The bandwidth occupation is obviously reduced; and the anti-noise performance is improved. Semantic transmission and task execution of multi-source data such as images, texts and voices under a unified framework are achieved through a shared neural network encoder and a channel interface, the robustness of tasks is kept under the complex channel condition, and cross-domain semantic expression among modes such as vision, texts and voices is achieved through the framework. Radio frequency data are sent and received in a real hardware platform, physical combination of an algorithm and a radio frequency link is achieved, and implementation of deep semantic communication in an actual wireless link shows that the method has engineering deployability and expansibility.

Certain aspects of the present disclosure provide techniques that may for configuration of parameters for monitoring for a combination downlink control information (DCI) that schedules data and / or reference signal transmissions in multiple cells. An example method generally includes determining, a blind decode (BD) limit and a control channel element (CCE) limit based on a scaling factor less than one, determining physical downlink control channel (PDCCH) parameters based on the BD limit and the CCE limit for monitoring for a combination downlink control information (DCI) that schedules at least one of data or reference signal (RS) transmissions in multiple cells, and monitoring for the combination DCI based on the determined PDCCH parameters.

The present invention discloses a MIMO-OFDM channel estimation method and device based on natural interpolation. The method comprises: obtaining a channel coefficient at a pilot signal based on least squares channel estimation; assigning weights to the channel coefficients at several pilot signals near each interpolation point according to the size of the Voronoi diagram grid area based on the natural interpolation method, and obtaining an interpolation formula at the interpolation point by weighted summation; and performing natural interpolation on each interpolation point using the interpolation formula to obtain a MIMO-OFDM channel estimation result. The method applies natural interpolation to channel estimation, and obtains a channel frequency response estimate at the interpolation point by weighting the values ​​at several pilot signals near the interpolation point. This method can simultaneously utilize the time and frequency correlation of the channel, significantly improve the channel estimation accuracy, reduce the channel estimation error, and have a smoother interpolation effect and better interpolation performance.

The invention belongs to the technical field of communication, and particularly relates to a multipath channel DOA estimation method based on a heterogeneous attention double-branch neural network, and the method comprises the steps: constructing a training set, a verification set and a test set through stratified sampling; introducing a multi-head attention mechanism to construct a heterogeneous attention double-branch neural network for realizing intelligent DOA estimation; designing a frequency weighted loss function as a loss function of neural network model training; a dynamic attention mechanism and an early stop mechanism are designed in a model training process to prevent an overfitting phenomenon. According to the method, the problem of serious DOA estimation model overfitting in a small sample and data non-uniform real acquisition data scene is effectively relieved, and the DOA estimation accuracy is improved.

The invention discloses an imitated radio frequency division multiplexing signal detection method based on low-complexity optimization expected propagation, and belongs to the signal detection technology of multi-carrier communication. According to the method, information is updated through iteration to approach an ML result, and the complexity is reduced from an exponential level to a cubic level; in order to reduce the complexity of the EP, sparse and quasi-banded channel structures in the DAFT domain are utilized. Through matrix block decomposition, upper and lower triangular decomposition and upper triangular matrix forward substitution, low-complexity matrix inversion is successfully realized, and the complexity of the EP algorithm is reduced to a linear level. In addition, the EP algorithm performance is further improved through a deep learning optimization moment matching strategy, so that the process becomes more adaptive through trainable positive and negative component parameters. In addition, DAFT domain iteration detection and decoding can be achieved based on the method, external information of a decoder is fed back to a detector, and the reliability of the whole system is remarkably improved. According to the invention, effective balance between performance improvement and calculation complexity is realized.

A method performed by a receiver of a wireless communications system to reduce the latency of channel estimation. The method includes receiving a data signal and a sequence of reference signals communicated over a wireless communication channel. In response to determining that the data signal is time critical or that a threshold reliability of the channel estimation is not required, the receiver estimates a channel condition of the wireless communication channel based on a portion of the sequence of reference signals. The receiver performs demodulation and decoding of the data signal prior to processing the entirety of the sequence of reference signals. The demodulation and decoding are adapted based on the estimated channel condition of the wireless communication channel.

The invention discloses a time-varying channel estimation method and device based on correlation prediction in an RIS auxiliary system, and the method comprises the steps: assuming that the working mode of the RIS is an ON or OFF mode, and obtaining time domain cascade channel estimation at a historical moment at a base station side; constructing a training sample set by using time domain cascade channel estimation at historical moments; randomly initializing network parameters, and training the long and short-term memory neural network by using the training sample set to obtain a network model with an optimal weight and threshold; predicting the time correlation of the channel based on the trained network model; generating an AR random model by using the time correlation of the channel, and constructing a state space model of the Kalman filter based on the AR random model and the time domain receiving signal; time-varying channel estimation is carried out based on the state space model of the Kalman filter, and cascade channel estimation passing through each RIS unit is obtained. The method is suitable for high-precision acquisition of the time-varying channel information in the RIS-assisted mobile communication system.

The invention discloses an unmanned aerial vehicle image transmission signal frequency and bandwidth estimation method and device, and the method comprises the steps: carrying out the segmentation interception of a received signal, and obtaining a signal segmentation sequence; performing preliminary screening on the signal segments by using the frequency spectrum conjugate symmetry of the ZC sequence; carrying out delay correlation processing on the primarily screened signal segments to obtain a delay correlation result sequence, taking an index value corresponding to the maximum modulus value of the delay correlation result sequence as an initial index, and obtaining a signal segment containing a ZC sequence; zC sequences under different bandwidths stored locally are obtained, conjugate multiplication is carried out on the ZC sequences and signal fragments containing the ZC sequences, whether the signals are image transmission signals of the unmanned aerial vehicle or not is determined according to frequency spectrum module value peaks of conjugate multiplication results, and meanwhile the center frequency and the bandwidth of the image transmission signals are obtained. According to the invention, the signals are intercepted in a segmented manner, and the peak-to-average ratio is used for rapid preliminary screening, so that the real-time performance is significantly improved; robustness and accuracy are greatly enhanced through a double-confirmation mechanism, calculation is efficient, and the method has good application prospects.

Apparatuses, systems, and techniques to perform channel estimation. In at least one embodiment, a processor includes one or more circuits to perform channel estimation corresponding to one or more wireless signals without using a reference signal.

Various aspects of the present disclosure generally relate to wireless communication. Some aspects relate to artificial intelligence or machine learning (AI / ML) based channel coding, in which an AI / ML model is used to encode and / or modulate a message for transmission. Aspects described herein use an artificial neural network (ANN) which may include a number of self-attention layers. For example, the ANN may consist of self-attention layers. An ANN that includes only self-attention layers may be associated with a lower number of model parameters than other ANNs, such as ANNs that incorporate a set of transformer layers. Furthermore, the number of model parameters that define an ANN may be lower than a number of table parameters that define a codebook for a transformer-based ANN for channel coding. Thus, signaling overhead can be reduced.

In order to estimate a channel in a wireless communication system, a method of operating a base station may comprise receiving reference signals from at least one user equipment (UE), estimating a channel based on the reference signals, performing scheduling for uplink communication, transmitting an uplink grant to the at least one UE based on a result of scheduling, and receiving uplink data from the at least one UE according to the uplink grant,