1387results about "Synchronous/start-stop systems" patented technology

An example embodiment of the present invention provides a semiconductor device including: an encoder configured to receive a plurality of bit data by dividing the plurality of bit data into first group data and second group data, the plurality of bit data being divided into 2-bit units, to delay the second group data for a first period, and to output the first group data and the delayed second group data; and an output driver configured to output the first group data and the delayed second group data together to an external semiconductor device.

The invention provides a signal shielding method based on deep reinforcement learning, and belongs to the technical field of artificial intelligence and communication crossing. The method comprises the steps that S1, a large number of historical wireless communication signals are acquired to construct a data set to train a signal interference strategy generation model; s2, deploying the signal interference strategy generation model to a signal shielding device; s3, verifying and analyzing the signal shielding instruction to obtain a shielding parameter, collecting a real-time wireless communication signal, and inputting the real-time wireless communication signal and the shielding parameter into a deployed signal interference strategy generation model to obtain a real-time signal interference strategy; and S4, the signal shielding device modulates the real-time interference signal based on the real-time signal interference strategy, and the power amplifier performs power amplification on the real-time interference signal and then transmits the real-time interference signal to the outside through the radio frequency antenna so as to perform signal shielding. The method has the advantages that the accuracy, the real-time performance and the expansibility of signal shielding are greatly improved, and the power consumption of signal shielding is reduced.

The invention discloses a nonlinear equalization method, device and equipment and a storage medium, and relates to the technical field of communication, and the method comprises the steps: obtaining a floating point tap coefficient of an original equalizer, and carrying out the low-order quantization of the floating point tap coefficient, and obtaining an integer tap coefficient; constructing a target equalizer based on the integer tap coefficient; and compensating nonlinear distortion of a to-be-processed signal based on the target equalizer to obtain a recovered signal. Through the mode, the low-order quantization is performed on the tap coefficient of the equalizer, and the traditional floating-point number is converted into the low-order integer for representation, so that the storage space and the calculation complexity are remarkably reduced, the hardware implementation efficiency can be optimized and the power consumption can be reduced while the transmission performance is ensured.

A method may include: initializing four states of a trellis, the four states corresponding to the four possible symbol levels in PAM4, where a respective initial state starts with an initial score and an empty survivor path; for respective possible transitions between the four initial states and four possible current states of the trellis, determining expected PAM4 symbols; determining error associated with respective transitions based on differences between a received PAM4 symbol and the expected PAM4 symbols; discarding transitions where the error indicates a difference greater than a single signal level, and keep the other transitions; and for respective current state groups of a two state trellis, determining one of the incoming transitions that was not discarded having the highest likelihood of being associated with a transmitted symbol.

The invention relates to the technical field of underwater acoustic communication and signals, and discloses an impulse noise parameter estimation method based on a hybrid neural network, which comprises the following steps of: 1, constructing a nonlinear mapping model of non-Gaussian parameter estimation; 2, establishing a noise sample database; step 3, establishing a noise parameter estimator based on the hybrid neural network; 4, network training and online deployment: respectively carrying out network training through the noise training sample set, storing network parameters after network training, and carrying out online deployment application; step 5, receiving an actually measured noise sample, performing parameter off-line estimation to obtain a noise parameter, and feeding back the noise parameter to a communication receiver; sixthly, the communication receiver designs a signal detector through the received noise parameters, and the signal detection effect under the impulse noise is optimized; according to the scheme, small-sample, rapid and accurate parameter estimation is realized by using the hybrid neural network, and the method is suitable for effective deployment of a noise parameter estimation module of a communication system under impulse noise.

The invention provides a multi-parameter adjustable wireless transmission signal simulation system and method, and relates to the technical field of wireless communication. The system comprises a main control module, a signal source module, a signal processing module, a combiner module, a digital pre-distortion module and an adaptive adjustment module. Carrier and modulation signals are generated through the control signal source module, the carrier signals and the modulation signals are processed through the signal processing module, direct signals and multipath signals are output, nonlinear distortion of the signals is compensated through the digital pre-distortion module, combined signals are synthesized through the combining module, and characteristics of the combined signals are collected through the self-adaptive adjustment module. Dynamically optimizing multipath parameters by adopting an RLS (Recursive Least Squares) algorithm, and updating a pre-distortion coefficient; and the machine learning prediction module is used for predicting channel characteristic parameters and adjusting the parameters in real time. The method solves the problems of redundancy of discrete devices, low parameter adjustment precision and signal distortion, and is suitable for dynamic channel simulation and complex scene modeling.

The invention belongs to the technical field of digital pre-distortion in satellite communication transmission, and provides a digital pre-distorter model design method based on a neural network for solving the technical problems that an existing digital pre-distortion algorithm lacks utilization of effective information and phase deviation, and the digital pre-distorter model design method based on the neural network is designed by combining the amplitude / phase and orthogonal / in-phase shunt isolation and interaction characteristics of communication data. A digital predistorter model based on set vector decomposition and multi-expert judgment is designed on the basis of an LSTM model, in-phase / orthogonal components and amplitude / phase information are comprehensively considered, cross-layer splicing is performed on original distortion signals and phase recovery signals through a vector splicing module, and isolation and interaction among different features are learned.

The invention discloses a self-adaptive suppression method and system for multi-band signal interference of a mobile terminal, and the method comprises the steps: collecting a multi-band radio-frequency signal power spectrum, extracting an interference feature vector, inputting the interference feature vector into a neural network prediction model, outputting future interference intensity probability distribution, generating a prediction frequency spectrum according to the probability distribution, and combining the current channel state information, pre-compensation processing is carried out through a double-level equalizer; the balancing strategy is dynamically adjusted according to the resource state of the mobile terminal, specifically, when the CPU load exceeds a first preset value or the electric quantity is lower than a second preset value, a second-level equalizer in the double-level equalizer is forbidden, and the steps S20-S40 are executed again till the CPU load and the electric quantity meet preset conditions; and a sliding window verification mechanism is adopted, DTW distances of the predicted frequency spectrum and the actually measured frequency spectrum are compared, and the frequency band weight coefficient of the feature extraction matrix is dynamically updated. According to the method, the signal interference suppression capability is improved through the synergistic effect of time-frequency feature enhancement, hybrid model prediction, dynamic resource scheduling and closed-loop optimization.

Apparatuses, methods, and systems are disclosed for controlling a reconfigurable intelligent surface. One method (600) includes determining (602), at a controller, a control signal for a reconfigurable intelligent surface to control a configuration of elements of the reconfigurable intelligent surface. The control signal includes a pair of parameters corresponding to two orthogonal directions. The method (600) includes sending (604) the control signal to the reconfigurable intelligent surface to control the configuration of elements of the reconfigurable intelligent surface.

Proposed is a device for receiving a four-level pulse amplitude modulation (PAM-4) signal, which includes a first comparator for comparing a received PAM-4 signal with a predetermined threshold voltage to output a most significant bit (MSB) signal; and a second comparator for comparing the differential signal difference between the positive signal and negative signal of the received PAM-4 signal with a reference voltage to output a least significant bit (LSB) signal.

The invention relates to a multi-device ad hoc network communication method and device and a storage medium, the polarization phenomenon can be accurately monitored and analyzed by collecting the magnetic field intensity vector of the device in real time, calculating the magnetic field gradient tensor and generating a medium polarization intensity distribution diagram, and when it is detected that the polarization angle deviation exceeds a threshold value, the system can quickly respond, and the communication efficiency is improved. A polarization compensation instruction is automatically sent to related equipment, by extracting a multipath component and a historical polarization residual component, the failure of a traditional channel estimation method is avoided, the prediction and compensation capability of a channel is optimized, the establishment of a dynamic compensation codebook is combined with a phase pre-compensation technology, and a phase adjustment process is optimized by using a symbol error fed back by a receiving end. By constructing the polarization memory attenuation prediction model, the channel state change can be learned and predicted in real time, an efficient compensation strategy is provided for the system, the communication requirement of each device is met, stable transmission of signals is ensured, and the communication performance and reliability of the system are improved.

The invention provides a fire-fighting bus communication method and system and a storage medium, and relates to the technical field of communication, the method comprises the following steps: sending a communication instruction to a group of slaves, the communication instruction comprising a plurality of pulse digital logic bits having a preset sequence; when any pulse digital logic bit is sent, synchronously monitoring whether a response signal sent by a slave exists or not; when a target response signal sent by a target slave is monitored, a target slave address of the target slave corresponding to the pulse digital logic bit sent when the target response signal is received is obtained, and the target slave is any one slave or a plurality of slaves in the group of slaves; and performing preset emergency processing on the target slave according to the target slave address. By implementing the technical scheme provided by the invention, the technical problem that the speed of acquiring the slave address needing to be reported in an important state on the bus by the current fire-fighting bus host in a polling manner is relatively low is solved.

The invention discloses a multi-path cooperative communication method, belongs to the technical field of wireless communication, and is used for solving the problems of inaccurate path selection, unreasonable power distribution and inaccurate signal combination caused by dynamic change of a channel state in multi-path communication. The method comprises the following steps: acquiring channel state information of at least three communication paths in real time through a transmitting end, wherein the channel state information comprises signal strength, frequency offset and noise power spectral density; dynamically dividing and distributing the data stream to each path based on the path quality factor, and adjusting the transmitting power by combining the signal strength and the noise difference value; a receiving end carries out time domain alignment by adopting a sliding window cross-correlation algorithm, and carries out phase compensation based on a minimum mean square error criterion; path reallocation is triggered when the continuous bit error rate exceeds a threshold. According to the method, the multi-path resource utilization rate can be optimized, and the communication stability and the data transmission efficiency are improved.

The invention discloses a broadband noise generation method based on predistortion calibration, and relates to the technical field of communication, and the method comprises the steps: S1, setting a flatness threshold value, and screening out an original noise signal needing to be calibrated; s2, generating an inverse filter coefficient and a filter suppression coefficient for the original noise signal; s3, performing frequency response compensation by using an inverse filter coefficient, performing band-pass filtering by using a filter suppression coefficient, performing down-conversion to a baseband, and reducing a sampling rate; and S4, comparing the processed signal with a flatness threshold value, and if the processed signal does not exceed the flatness threshold value, indicating that signal calibration is completed, otherwise, entering calibration again. By introducing a pre-distortion calibration mechanism, the inverse filter coefficient is calculated in real time to compensate the system frequency response, the spectrum distortion caused by a fixed filter is effectively eliminated, and the method has the advantages of realizing dynamic and adaptive filter adjustment, effectively reducing the manual participation frequency and improving the continuous operation capability and the test efficiency of the system.

The embodiment of the invention discloses a signal processing method and a related device. The signal processing method can be applied to a communication scene. A transmitting end adjusts a power spectrum of a to-be-transmitted signal according to a target frequency of interference or noise, specifically, the transmitting end flips polarities of partial symbols in the to-be-transmitted signal according to the target frequency, so that the power of the to-be-transmitted signal at the target frequency is suppressed, and the signal transmission efficiency is improved. And the influence of interference or noise in the channel on the transmission performance can be resisted. According to the invention, the transmitting end can flexibly adjust the power spectrum of the signal to be transmitted according to the frequency of the interference or noise in practice, so that the signal to be transmitted and the interference or noise are not overlapped in frequency, and the receiving end can effectively filter the interference noise and does not cause damage to the signal from the transmitting end. And the sending end also sends identification information to the receiving end, so that the receiving end carries out inverse transformation of power spectrum adjustment on the received signal according to the identification information, and an original signal before the sending end carries out the power spectrum adjustment is recovered and obtained.

The present invention relates to a duobinary signal reception device and method in which: a variable gain amplifier (VGA) amplifies a duobinary signal; a duobinary-to-non return to zero (NRZ) converter restores an NRZ signal on the basis of a differential signal of the amplified duobinary signal and a predetermined reference voltage signal; a digital regulator voltage (DRV) circuit outputs the restored NRZ signal; and the duobinary-to-NRZ converter comprises an exclusive OR (XOR) gate to which the differential signal of the amplified duobinary signal is input, and a comparator to which an output of the XOR gate and the reference voltage signal are input.

A high-speed transmitter system is disclosed that uses a supply-controlled serialization stage embedded in a PMOS output stage. In some embodiments, the transmitter includes a serialization circuit configured to convert parallel data to serial data by one or more serialization stages, a logic circuit configured to connect each input of the last stage of the one or more serialization stages of the serialization circuit to a respective dedicated output stage of an output circuit via respective logic functions, and an output circuit configured to implement an output stage to generate a signal using PMOS transistors based on the received input. Also, the logic circuit is connected to a low-voltage power supply, whereby its output can be adjusted to be close to the switching point of a PMOS-based gm stage so as to accelerate the operation of the transmitter.

Provided are a data transmission circuit system and a data reception circuit system, which use an edge of a pulse signal. The data transmission circuit system modulates a digital signal by using time levels determined by time differences between rising edges (or falling edges) of a clock pulse signal and rising edges (or falling edges) of a data pulse signal. The data reception circuit system demodulates a digital signal by using time levels determined by time differences between rising edges (or falling edges) of a recovered clock pulse signal and rising edges (or falling edges) of a data pulse signal.

A high-speed transmitter system is disclosed that controls a serialization stage using a power supply embedded in a PMOS output stage. In some embodiments, a transmitter comprises: a serialization circuit configured to convert parallel data into serial data using one or more serialization stages; a logic circuit configured to connect each input of a last one of the one or more serialization stages of the serialization circuit to a respective dedicated output stage of the output circuit via a respective logic function; and an output circuit configured to implement an output stage using a PMOS transistor to generate a signal based on the received input. Further, the logic circuit is connected to the low voltage power supply such that its output can be adjusted to approach the switching point of the PMOS-based gm stage to accelerate transmitter operation.

The disclosure deals with system and method for discerning the radius maximizing reliability for binary modulation on conjugate-reciprocal zeros (BMOCZ) implemented with both a maximum likelihood (ML) and direct zero-testing (DiZeT) decoder. The optimal radius for BMOCZ is disclosed to be a function of the employed decoder. The radius maximizing the minimum distance between polynomial zeros does not maximize the minimum distance of the final code. While maximizing zero separation offers an almost optimal solution for the DiZeT decoder, the ML decoder outperforms the DiZeT decoder in both additive white Gaussian noise (AWGN) and fading channels when the radius is chosen to maximize codeword separation. Different sequence-to-subcarrier mappings for BMOCZ-based orthogonal frequency division multiplexing (OFDM) are analyzed to highlight a flexible time-frequency mapping approach that avoids distortion introduced by a frequency-selective channel at the expense of higher peak-to-average power ratio (PAPR).

Ultra-Wideband (UWB) technology exploits modulated coded impulses over a wide frequency spectrum with very low power over a short distance for digital data transmission. Today's leading edge modulated sinusoidal wave wireless communication standards and systems achieve power efficiencies of 50 nJ / bit employing narrowband signaling schemes and traditional RF transceiver architectures. However, such designs severely limit the achievable energy efficiency, especially at lower data rates such as below 1 Mbps. Further, it is important that peak power consumption is supportable by common battery or energy harvesting technologies and long term power consumption neither leads to limited battery lifetimes or an inability for alternate energy sources to sustain them. Accordingly, it would be beneficial for next generation applications to exploit inventive transceiver structures and communication schemes in order to achieve the sub nJ per bit energy efficiencies required by next generation applications.

Technology is disclosed for an optical receiver. The optical receiver may include an optical and digital signal processing (ODSP) device. The ODSP device may include a photodiode operable to convert an optical signal to an electrical signal; a digital signal processor operable to generate a digital signal based on the electrical signal; a quantization component operable to generate a quantized output signal based on the digital signal; and a processing device. The processing device may be operable to measure one or more signal statistics of the digital signal; and identify one or more quantization thresholds, wherein the one or more quantization thresholds are computed based on the one or more signal statistics.

The invention discloses a low-complexity MSK coded modulation system phase synchronization receiving system and method, and relates to the technical field of continuous phase modulation. On one hand, an original message is coded and modulated by constructing a pre-coding mode, a receiving end realizes optimal sampling point extraction at the minimum intersymbol crosstalk moment after phase decoupling frequency conversion processing, MSK is converted into BPSK-like modulation, oversampling processing is not needed, modulation phase components of a receiving synchronization section can be offset, and the modulation efficiency of the receiving synchronization section is improved; therefore, accurate estimation of Doppler phase and frequency is realized, and the anti-Doppler capability is improved. On the other hand, coherent demodulation soft information is directly output after the real part of the signal subjected to Doppler frequency offset and phase offset compensation is obtained, the complexity of the demodulation algorithm is low, the performance of the demodulation algorithm is equivalent to that of BPSK, the demodulation algorithm is remarkably superior to that of an MSK optimal demodulation receiver in a low signal-to-noise ratio region, and the demodulation algorithm is particularly suitable for a bit interleaving coding modulation system combined with channel coding and has a wide application prospect. And reliable transmission under a low signal-to-noise ratio can be realized.

A memory system including: a memory controller to transmit a command, an address, or data to a first channel based on a data input / output signal having one of N (N is a natural number of three or more) different voltage levels during a first time interval, the memory controller transmitting the command, the address, or the data not transmitted during the first time interval to the first channel based on the data input / output signal having one of two different voltage levels during a second time interval; and a memory device to sample the data input / output signal received via the first channel during the first time interval in a pulse amplitude modulation (PAM)-N mode, the memory device sampling the data input / output signal received via the first channel during the second time interval in a non return to zero (NRZ) mode.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a transmitter device may transmit, to each receiver device of a plurality of receiver devices communicating with the transmitter device over a wideband channel using frequency division multiplexing, an indication of a bandwidth portion of the wideband channel to be used by the receiver device for performing measurements associated with a non-linear model of the transmitter device. The transmitter device may transmit, to each receiver device of the plurality of receiver devices, one or more wideband reference signals associated with training the non-linear model. The transmitter device may receive a plurality of digital pre-distortion (DPD) coefficients, obtain a set of DPD coefficients based at least in part on combining the plurality of DPD coefficients, and perform DPD processing in accordance with the set of DPD coefficients. Numerous other aspects are described.

A method for quantizing data representative of a radio signal received by a radio antenna of a mobile network. The method includes: demodulating the radio signal received by the antenna, providing a demodulated signal; scalar quantizing each value of the demodulated signal using a quantization table selected according to a channel coding level used to transmit the radio signal, providing a quantized demodulated signal; and transmitting the quantized demodulated signal to a channel decoding module.

The invention discloses a sub-Nyquist joint broadband spectrum sensing and automatic modulation classification method based on deep learning. The method comprises the following steps: generating a generation data set for joint broadband spectrum sensing and automatic modulation classification; the method comprises the following steps: modeling a cognitive wireless network combined broadband spectrum sensing and automatic modulation classification system, and carrying out multi-coset preprocessing and analog low-pass filtering on a signal received by a cognitive wireless end; constructing a broadband spectrum sensing and automatic modulation classification neural network and training a model; and the local client combines the off-line broadband spectrum sensing training model and the off-line automatic modulation classification training model to online predict the spectrum occupation condition of the broadband signal and the modulation type of each occupied sub-band signal. According to the method, organic fusion of spectrum detection and modulation identification is realized, the processing efficiency and the intelligent degree of the system are remarkably improved, and the method has good robustness and high accuracy and is particularly suitable for a joint identification task of a multi-user broadband communication signal in a dynamic electromagnetic environment.

A data processing method comprises: separately performing inner-code encoding on n first data streams to obtain n second data streams, where the n second data streams include n inner-code codewords from the n second data streams, the n inner-code codewords include n / m codeword sets, each of the codeword sets includes m inner-code codewords, and each of the inner-code codewords includes N bits; separately performing bit interleaving on the n / m codeword sets to obtain n / m target bit sets; and separately mapping m×N bits in each of the target bit sets to obtain m×N / L modulation symbols, to obtain n×N / L modulation symbols, where every L bits are mapped to one modulation symbol, and the L bits in the modulation symbol are from L inner-code codewords, wherein the L bits in the modulation symbol are from information bits in the inner-code codewords.

A subscriber station for a serial bus system and a method for communication. The subscriber station has a communication control device controlling a communication of the subscriber station with at least one other subscriber station of the bus system and generating a transmit signal. The communication control device generates the transmit signal according to a frame and to insert a field having a rising edge and a subsequent falling edge into the frame for the transition from a first communication phase to a second communication phase. The field has a predetermined length between the rising edge and the subsequent falling edge such that a sampling time at which a communication control device of the at least one other subscriber station of the bus system will sample the first bit of the second communication phase is situated between the rising edge and the subsequent falling edge.

A high-speed transmitter system using a common mode controlled serialization stage embedded in an output stage is disclosed. In some embodiments, the transmitter includes a serialization circuit that is configured to convert parallel data into serial data with one or more serialization stages; a logic circuit that is configured to connect each input of a last stage of the one or more serialization stages of the serialization circuit, via a respective logic function, to a respective dedicated output stage of an output circuit; and the output circuit that is configured to implement output stages to generate a signal based on the received input using NMOS transistors. In addition, the logic circuit is configured to be a desired voltage value (e.g., the output circuit's common mode) such that a switching point of the NMOS gm stage can be decreased and the gm stage can be activated within a reduced time.