15 results about "Higher-order modulation" patented technology

This invention provides an unmanned aerial vehicle (UAV) image transmission system and image transmission method. The system includes: a radio frequency (RF) transceiver, a balanced amplifier circuit, a low-noise amplifier, and an RF switch. The balanced amplifier circuit includes at least two parallel power amplifiers configured to superimpose the amplified signals from each power amplifier in phase to synthesize the output power. The RF transceiver generates a time-division duplex control signal to synchronously control the switching of each component between transmit and receive modes. By employing a balanced amplifier circuit, this invention enables each power amplifier to operate in a region with better linearity, thereby improving transmit power while ensuring the signal quality required for high-order modulation, thus balancing long-distance transmission and high-definition image quality.

A communication method, apparatus, and system are provided. An apparatus (such as a channel interleaver) can acquire a first coded bit sequence, wherein the first coded bit sequence is obtained by rate matching a second coded bit sequence; divide the first coded bit sequence into blocks; and perform channel interleaving on the blocks in a predefined order, wherein the channel interleaving is applied to the first coded bit sequence before modulation and transmission to the channel. The ability to divide the first coded bit sequence into blocks for channel interleaving enables block-level interleaving with higher parallelism, improving flexibility, simplifying operation, and achieving higher throughput, while also providing stable or better performance under high-order modulation or fading channels.

This invention provides a method, apparatus, and terminal device for estimating transmitted signals, belonging to the field of wireless communication technology. The method includes determining a received signal vector, a channel matrix, and a noise variance; inputting the received signal vector, channel matrix, and noise variance into a signal estimation model to obtain an estimated transmitted signal value output by the signal estimation model; wherein, the signal estimation model is obtained by optimizing a minimum mean square error detector based on a Fourier transform algorithm and a pre-determined weighting factor, and the weighting factor is used to adjust the convergence step size. This invention uses the Fourier transform algorithm to replace matrix inversion in the minimum mean square error detector, avoiding explicit matrix operations, reducing computational complexity, and can be used in M-MIMO systems with large-scale antennas. Furthermore, adjusting the convergence step size based on the weighting factor is beneficial for stable convergence and prevents severe degradation of bit error rate performance under high-dimensional and high-order modulation conditions.

This invention relates to the field of optical signal demodulation, specifically to a parallel optical signal modulation and demodulation method and system based on MicroLED array optical interconnects, comprising: a data acquisition module for acquiring raw data from the external environment or equipment and converting it into a form suitable for subsequent processing; a data processing module for receiving information from the data acquisition module and preprocessing it; and a data analysis module. The overall architecture of high-speed DSP+MicroLED channels breaks away from the traditional approach of "hundreds of channels, DSP-free, wide but slow." By introducing SerDes and DSP modulation and demodulation, the single-channel rate is increased by an order of magnitude, achieving a total bandwidth of ≥120Gbps with ≤32 channels. Simultaneously, single-channel 10–20Gbps OOK / PAM4 modulation is achieved: clearly defining high-order modulation of MicroLED under GHz-level bandwidth conditions, overcoming the carrier lifetime limitations of MicroLED, and ensuring low bit error rate through pre-emphasis, equalization, and FEC.

The application relates to a radio frequency power amplifier linearity improvement method, satisfies the requirement of a high-order modulation communication system on the linearity of a memory type power amplifier, effectively solves the problem of signal distortion caused by the nonlinearity of a radio frequency power amplifier, first, a modeling method is designed to effectively reflect the memory effect of the power amplifier and accurately describe the input-output relationship of the power amplifier, thereby providing support for subsequent predistortion design; then, a predistortion scheme is applied to adjust the input signal on the basis of the accurate model, and the predistortion scheme has the advantages of simple structure, fast calculation speed and relatively easy realization process; in addition, considering the aging and other problems in the actual use process of the device, a real-time updating measure for the predistortion adjustment scheme is designed, the adaptability of the whole system is increased, and the shortcoming that the memory type power amplifier model is only a mathematical model and cannot describe the changes in actual application is made up.

The application provides a noise equalization method and device for a high-order modulation double offset continuous spectrum NFDM system, and belongs to the technical field of optical fiber communication. The method comprises the following steps: generating a distribution probability corresponding to a high-order modulation format constellation point by using an MB distribution at a transmitting end, and generating a PS symbol according to the distribution probability; modulating the PS symbol to a scattering coefficient to generate a time domain signal, and transmitting the time domain signal into an optical fiber after electro-optical conversion; recovering the PS symbol by using a receiving end in a DSP sequence opposite to that of the transmitting end, reorganizing the sequence order of the PS symbol, and obtaining input features of a c-ANN; taking ideal symbols of the transmitting end and the reorganized c-ANN input features of the receiving end as labels and input data of a c-ANN network, obtaining equalized data, and realizing suppression and equalization of ASE noise and processing noise. The application can effectively equalize noise and improve system performance.

The application provides a high-order modulation coding and decoding method for anti-nonlinear distortion of a power amplifier, comprising a transmitting end processing procedure, a transmission procedure and a receiving end processing procedure. The transmitting end processing procedure comprises: performing LDPC coding on an information bit stream to obtain a coded bit stream; grouping the coded bit stream, searching for a corresponding modulation constellation in set 64AANC modulation constellation data, obtaining a mapping symbol stream, and then performing power backoff to obtain a transmitting symbol stream; the transmission procedure comprises: adding a Gaussian white noise simulation signal to the transmitting symbol to enter an AWGN channel; and the receiving end processing procedure comprises: performing demapping by using set 64AANC demodulation constellation data, sequentially calculating 6-bit log-likelihood ratio values corresponding to each symbol and flattening the 6-bit log-likelihood ratio values, taking each n log-likelihood ratio values as a group, inputting the group into a belief propagation decoder for iterative decoding, and then flattening to obtain a receiving information bit stream. The application has the advantages that the power efficiency and bandwidth efficiency of an existing system can be improved.

A method includes a wireless access network node (e.g., base station) transmitting, to a wireless terminal device (e.g., UE), a first indication to activate a high-order modulation scheme, and transmitting, to the wireless terminal device, a second indication to indicate a modulation and coding scheme (MCS) index. The MCS index, in coordination with an MCS table associated with the high-order modulation scheme, indicates the modulation order.

This invention relates to the field of wireless communication management technology, specifically disclosing a wireless communication reselection method supporting network slicing. By real-time fusion of battery terminal voltage, current transient rate, and RF module transmit power margin values, the dynamic voltage drop characteristics of battery internal resistance and inductive load under current abrupt changes are incorporated into the prediction model. This accurately generates voltage sag trajectories covering key future time windows, and intelligently compares these trajectories with the linearity maintenance threshold of higher-order modulation modes. This achieves proactive intervention against communication link interruption risks. Through an iterative optimization-based dynamic adjustment strategy for modulation order, low-power slice configurations are intelligently matched while maintaining communication link integrity. This not only avoids the risk of link failure or shutdown caused by the power system and communication module competing for power, but also significantly improves the continuous mission execution capability and system robustness of UAVs in complex maneuvering scenarios, resulting in a qualitative leap in logistics delivery efficiency and reliability.

The application discloses a noise estimation method, device, storage medium and computer program product, relates to the technical field of communication, and the method comprises the following steps: determining a noise-free frequency domain channel correlation matrix and a least square channel estimation based on a pilot signal; performing eigenvalue decomposition on the noise-free frequency domain channel correlation matrix to obtain a noise space eigenvector; and calculating noise estimation by projecting the noise space eigenvector to the least square channel estimation. The application solves the problem that the traditional method depending on a signal space is greatly affected by the filter passband width and the passband ripple, and has a large error in a high SNR multipath channel, improves the accuracy of noise estimation, improves the performance of equalization under high SNR high-order modulation, reduces BLER, solves the problem of large correlation matrix calculation amount, and reduces the complexity of system design.

The application relates to a signal generation and transmission method, system and medium suitable for a high signal-to-noise ratio and high-order modulation format of an optical mode division multiplexing communication system, the method comprising the following steps: acquiring a plurality of original binary bit sequences to be transmitted; sequentially performing mapping and digital up-sampling processing to obtain a digital up-sampled complex sequence of each channel; performing delta-sigma modulation on the digital up-sampled complex sequence of each channel to generate a plurality of groups of high signal-to-noise ratio real signals of each channel; modulating the plurality of groups of high signal-to-noise ratio real signals of each channel on different optical LP modes by using a dual-polarization IQ modulator and a mode multiplexer, transmitting the signals through a few-mode optical fiber, and then performing signal receiving and demodulation to obtain a polarization complex signal of each channel; and performing inverse operation on the polarization complex signal of each channel to obtain a plurality of recovered original binary bit sequences. Compared with the prior art, the application has the advantages of improving transmission reliability and high efficiency.

This application relates to a low-complexity hybrid detection method, system, device, and medium based on the MMSE criterion. The method employs a phased processing approach. First, based on system configuration parameters, the channel matrix, and the initial received signal, the covariance matrix of the corresponding TAP for each user is calculated. Screening parameters are set, and residual signal observations are initialized to obtain a preprocessed data set. Second, a reduced TAP candidate set is generated using Mahalanobis distance for dual screening. The filter matrix is ​​derived using the MMSE criterion, and constellation symbol candidates are calculated, forming a candidate signal pair set. Subsequently, the optimal candidate signal pair is selected based on Euclidean distance, and the optimal detection result is output. Finally, the residual signal observations are updated using serial interference cancellation technology, and the above steps are repeated until all users have completed detection. Through the aforementioned TAP candidate screening and MMSE filter matrix derivation techniques, this method significantly improves detection accuracy and anti-interference capability while reducing computational complexity, making it suitable for large-scale MIMO and high-order modulation scenarios.

Embodiments of the application disclose a cross-standard link adaptive scheduling method, device, equipment and storage medium. The method comprises: first acquiring a to-be-transmitted queue, determining the number of clusters K according to the total payload length of data packets in the queue, and then combining the CQI corresponding to each data packet and a clustering algorithm to divide the data packets into K clusters. The smallest CQI corresponding to the data packets in each cluster is acquired, the target spectral efficiency is determined through a pre-set CQI mapping table, and then the highest order modulation and coding mode that does not exceed the target spectral efficiency is selected as the final modulation and coding mode through a modulation and coding scheme table. When sending, the data packets are sent in the order from high to low according to the number of data packets contained in each cluster, and the higher the number is, the earlier the sending order of the cluster is. The application can greatly reduce the CQI gap of data packets in a physical frame, significantly improve the throughput of user equipment with high channel quality, and balance transmission reliability and spectral resource utilization.

The application relates to the technical field of power line communication, and discloses a power line high-order modulation and demodulation method and system based on a multilayer perceptron, which has the technical scheme as follows: receiving signals from a power line channel, extracting complex signals on each subcarrier, and decomposing the complex signals into in-phase components and quadrature components; inputting the normalized in-phase components and quadrature components into a pre-trained multilayer perceptron model, directly outputting soft decision log-likelihood ratio prediction values of each bit carried by the complex signals through forward calculation, and sending the soft decision log-likelihood ratio prediction values into a low-density parity-check decoder for decoding to complete demodulation and error correction of the signals. The mode of offline training and online inference is adopted, the demodulation task is reconstructed into a continuous value regression task, the multilayer perceptron network is used to directly learn and output the log-likelihood ratio of each bit from the received signals, and the performance bottleneck and hardware overflow problems existing in the traditional demodulation method in a complex power line channel are solved.

The application discloses a short code polar code encoding construction method based on polarization spectrum. In view of the problems of existing polar code construction in short packet non-coherent SIMO communication, such as dependence on channel state information and limitation of modulation order, a double-core mixed polar code encoding architecture is established, the Kronecker product of two-dimensional cores and arbitrary order cores is adopted, and high-order modulation of an arbitrary symbol mapping bit number is supported; an ordered weight sequence set is generated by calculating the minimum chord distance vector of a constellation diagram; a polarization spectrum statistic is proposed to describe the distribution of segmented weights after the ordering of code words in each sub-code auxiliary set under the condition of no channel state information; an optimization target is established based on the polarization spectrum, the chord distance and the number of receiving antennas, and the optimal information bit allocation is solved by using dynamic programming. Under the symbol level non-coherent SCL decoding, compared with the 5G NR polar code construction scheme and the coherent transmission scheme, the application significantly improves the block error rate performance and is suitable for short packet communication scenes with high mobility and low pilot overhead.