423 results about "Predistortion" patented technology

The invention provides a mobile phone signal blocking, shielding and self-adaptive identification method and system, and relates to the technical field of mobile phone signal identification and shielding, and the method comprises the steps: collecting signals through a distributed signal collector, obtaining signal features and positions through time-frequency domain analysis and triangulation positioning, inputting a convolutional neural network to extract communication protocol and behavior pattern features, and carrying out the blocking, shielding and self-adaptive identification. And predicting a signal movement track and a communication behavior. And calculating a minimum interference power threshold based on a channel capacity theory, iteratively optimizing interference power by adopting a multi-objective optimization algorithm, calculating a beam direction and phase delay according to optimal power configuration parameters and signal movement track prediction data, and generating a blocking control signal. A directional interference beam is compensated by adopting a digital pre-distortion technology, an interference effect is monitored in real time, evaluation data is fed back to a convolutional neural network to update signal identification data, and closed-loop control is formed, so that accurate and efficient mobile phone signal blocking, interference power reduction and anti-interference capability improvement are realized.

According to some embodiments, in a radio frequency (RF) transceiver system having a transmit chain and a digital pre-distorter (DPD), a control unit includes: one or more inputs, at least one of which is connected to receive a first signal corresponding to a signal to be transmitted via the transmit chain or a modified version of the signal to be transmitted; and an output connected to provide a control signal to the DPD, and to a reconfigurable matching network (RMN) for commanding a reconfiguration of the RMN, wherein the DPD is configured to apply digital predistortion to the signal to be transmitted based at least in part on combining the first signal with a second signal corresponding to the control signal or a translated version thereof, and to provide a resulting pre-distorted signal to the transmit chain.

Aspects of this disclosure relate to symbol based envelope tracking. A voltage modulator circuit can generate an output bias voltage that tracks a root mean square symbol power of a radio frequency signal. A digital predistortion system in a signal path that provides the radio frequency signal can adjust a digital predistortion based on a symbol based envelope tracking state.

This disclosure describes an auto-calibration of mixers in a quantum orchestration platform. Predistortion is computed according to an RF signal that is downconverted with a local oscillator tone that is offset from an upconverter tone. Three tones present in the original RF signal are distinguished and used to construct a cost function. The minimization of the cost function is used to cancel an unwanted LO leakage and an image tone. Because the quantum orchestration platform generates both the unconverted IQ signals and the cost function for their optimization, the optimization can be performed in real time inside a single device without the need to communicate with external devices. This allows for the optimization of single sideband upconverted signals in a fraction of the time it typically takes using distributed systems employing separate waveform generators and spectrum analyzers.

The invention discloses a power adaptive digital pre-distortion method, system and device based on sparse GRU and a medium. The method comprises the steps that input and output signals under different powers are collected, a composite feature vector is constructed through amplitude normalization and phase alignment, and a pre-distortion training target is generated in combination with indirect learning; constructing a sparse GRU neural network, introducing L1 regularization constraint, and obtaining a sparse pre-distortion model through joint optimization of mean square error and sparse constraint; partial weight updating is realized based on power grading, and weight fusion output is carried out during power interval switching so as to complete power adaptive optimization; pruning and compressing the sparse GRU model and then deploying the sparse GRU model in a pre-distortion module to compensate the nonlinearity of the power amplifier; according to the method, the model complexity is reduced through rarefaction, the dynamic working condition stability is improved through a power adaptive mechanism, pruning compression adapts to low-power-consumption hardware, high precision, low complexity and adaptive capacity are considered, and the method is suitable for the low-power-consumption and high-performance requirements of a broadband wireless communication system.

The invention discloses a time delay compensation control method and system for two-way communication of a repeater, particularly relates to the technical field of repeaters, and is used for solving the problem of signal time delay distortion caused by polarization mode dispersion in an optical fiber link. By using polynomial fitting and a frequency domain interpolation algorithm and combining a polarization state time delay spectrum chaos degree index and a phase high-order dynamic variable rate index, the complexity of the model is dynamically adjusted, an accurate nonlinear time delay model is generated, and the defect of nonlinear time delay modeling in a traditional method is overcome; the time delay compensation amount is reversely calculated based on the model and mapped into a phase predistortion parameter, a full-band time delay gradient compensation matrix is formed, and the time delay dispersion effect in an optical fiber link is effectively compensated through phase predistortion; therefore, the flattening correction of the broadband signal time delay is realized, the demodulation performance of the receiving end signal is improved, the communication quality of the repeater in a high-frequency and large-bandwidth scene is ensured, and the high-precision service requirement is met.

Aspects of this disclosure relate to digital compensators, such as digital predistortion systems. Digital predistortion systems disclosed herein use a neural Volterra approach. Such digital predistortion systems can include a feature processing path comprising a feature artificial neural network, an envelope processing path, multipliers configured to multiply respective output signals of the feature processing path and the envelope processing path, and a combiner configured to generate a combined output signal based on at least output signals of the multipliers. The combined output signal is a digitally predistorted version of an input signal.

Method and device(s) for supporting performance of machine learning based CFR and DPD on multiple digital input signals relating to different frequency bands, respectively, in order to signal condition said signals before power amplification and subsequent transmission in said frequency bands by a wireless communication network. The device(s) obtain said multiple digital input signals as complex valued signals. The device(s) perform feature construction that takes said multiple digital input signals as input and provides constructed feature signals according to predefined constructed feature types as output. Said predefined constructed feature types relate to at least the following per complex valued sample of the obtained complex valued multiple digital input signals the real part of the sample, the imaginary part of the sample and at least one of the absolute value of the sample and the phase of the sample.

In some embodiments, in a radio frequency (RF) transceiver system having a transmit chain and a digital pre-distorter (DPD), a control unit includes: one or more inputs, at least one of which is connected to receive a first signal corresponding to a signal desired to be transmitted via the transmit chain or a modified version of said signal; circuitry configured to generate a control signal for commanding a system state of the transmit chain based at least in part on the first signal; and an output connected to provide the control signal to the DPD and to a circuit to alter the system state of the transmit chain. The DPD is configured to apply digital predistortion to the signal to be transmitted based and provide a resulting pre-distorted signal to the transmit chain operating at the system state.

The invention relates to the technical field of wireless communication, and discloses a digital pre-distortion method for improving the linearity of a power amplifier in a phased array system, which comprises the following steps of: 1, acquiring a nonlinear parameter of the power amplifier under a dynamic load in real time, the nonlinear parameters comprise an input signal amplitude-phase characteristic, a temperature parameter and a quantum tunneling current parameter; 2, generating a pre-distortion compensation signal based on the nonlinear parameter, wherein the pre-distortion compensation signal comprises a quantum phase compensation item and a dynamic phase change compensation item; and step 3, superposing the pre-distortion compensation signal to an original input signal to generate a pre-distortion modulation signal. The linearity of the power amplifier is improved by introducing the quantum phase compensation item and the dynamic phase change compensation item, nonlinear parameters are accurately obtained in real time in a dynamic load environment, and the precision of pre-distortion compensation is improved.

The invention relates to the technical field of radio frequency generator circuits, and provides a phase-locking frequency-stabilizing multi-core control radio frequency system, which processes I / Q signals and constructs a multi-core task allocation and cooperation mechanism through a digital baseband processing module, and performs pre-distortion processing and system scheduling. The double-closed-loop control module is used for stabilizing fundamental frequency, correcting temperature drift and compensating and adjusting frequency swing amplitude; the hybrid power amplification module is used for performing multi-stage hybrid power amplification signal processing and temperature monitoring through a driving stage and output stage combined topology; and the feedback sampling network module collects output signals in real time through a directional coupler and feeds back, adjusts and precisely controls the frequency stability according to the output signals.

A radio-frequency (RF) circuit including: a multi-tone generation circuit configured to generate a multi-tone signal including a plurality of tones; a predistortion circuit configured to predistort the multi-tone signal or a modulation signal and output a predistortion signal; a power amplifier configured to amplify the predistortion signal and output an output signal; and a predistortion modeling circuit configured to model a predistortion model corresponding to the predistortion circuit based on the predistortion signal corresponding to the multi-tone signal and the output signal.

A system and computer-implemented method for data communication using a Physical Information Neural Network (PINN) is provided. At a transmitter, the method is configured to obtain source data to be transmitted, encode the source data into a codeword based on a Forward Error Correction (FEC) code, map the codeword to amplitude symbols, modify the mapped amplitude symbols to pre-equalized symbols including pre-distorted channel impairment symbols based on a predetermined physical model, and transmit the modified pre-equalized symbols to a receiver. And transmitting the digital data of the pre-balanced symbols as channel data through a channel. At a receiver, the method is configured to receive and demodulate channel data from a channel to produce an initial estimate of bits of the received channel data, mitigate channel noise and waveform distortion in the channel data based on the initial estimate, channel data composed of shaped non-uniform symbols is converted into a de-shaped bit sequence as a uniform data sequence, the de-shaped bit sequence is decoded to correct a residual error in the converted channel data, and the corrected channel data is stored in a data sink.

An apparatus and method are provided for digital predistortion of an electrical signal to pre-compensate for nonlinear distortions in a nonlinear channel (e.g., a nonlinear channel including a high-power amplifier). The digital predistortion processor includes a nonlinear filter. Filter coefficients are determined using a modified input electrical signal having multiple simultaneous tones, using an iterative process which adapts the modified input electrical signal to reduce levels of intermodulation distortions in a modified output electrical signal.

The invention belongs to the technical field of signal processing, and particularly discloses a deep learning driven power amplifier predistortion method, which comprises the following steps: constructing a signal matrix of a target signal sequence, the target signal sequence being obtained by preprocessing an original time signal sequence collected from a signal source; sequentially inputting the signal matrix into a PDTRANS predistortion model and a power amplifier, and obtaining an output signal sequence of the power amplifier; determining a loss function value based on the output signal sequence and the target signal sequence, and adjusting hyper-parameters of a PDTRANS pre-distortion model based on the loss function value; the steps of obtaining the output signal sequence of the power amplifier and adjusting the hyper-parameters of the PDTRANS predistortion model are repeated until the loss function is minimized, and the trained PDTRANS predistortion model matched with the power amplifier is obtained; and performing pre-distortion compensation on the power amplifier based on the trained PDTRANS pre-distortion model. According to the invention, accurate pre-distortion modeling of the power amplifier is realized.

The invention relates to the technical field of qec correction of digital arrays, in particular to a feedback-based digital qec correction method for a digital array, and the method comprises the following steps: S1, constructing a transceiving channel distortion model, and calculating distortion model parameters; s2, constructing a transmitting terminal pre-distortion model according to the distortion model parameters, and performing transmitting terminal qec correction; and S3, constructing a post-distortion model of the receiving end according to the distortion model parameters, and performing qec correction of the receiving end. According to the scheme, the problem of mirror image and direct current correction of the receiving and transmitting end of the digital array antenna is solved digitally, the method does not depend on hardware design and does not need support of an external reference source, mirror image qec correction is carried out by using a digital method based on feedback, error correction of the mirror image and the local oscillator is also realized by the method, and the method is high in precision and good in portability.

According to some embodiments, in a radio frequency (RF) transceiver system having a transmit chain with a beamforming array, a digital pre-distorter (DPD) includes: a plurality of inputs including at least a first input to receive a first signal corresponding to a signal desired to be transmitted via the transmit chain or a modified version of the signal desired to be transmitted via the transmit chain, and a second input to receive a second signal corresponding to a signal associated with the beamforming array or a translated version of the signal associated with the beamforming array; circuitry configured to apply digital predistortion to the signal desired to be transmitted based at least in part on combining the first and second signals; and an output connected to provide a resulting pre-distorted signal to the transmit chain.

In some embodiments, in a radio frequency (RF) transceiver system having an RF amplifier and a digital pre-distorter (DPD), a control unit includes: one or more inputs, one of which is connected to receive a first signal corresponding to a signal desired to be transmitted via the RF amplifier or a modified version thereof; circuitry configured to generate a control signal for controlling a bias of the RF amplifier; and an output connected to provide the control signal to the DPD and to a bias modulation circuit for varying the bias of the RF amplifier based in part the control signal, wherein the DPD is configured to apply digital predistortion to the signal to be transmitted based in part on combining the first signal with a second signal corresponding to the control signal or a translated version thereof, and to provide a resulting pre-distorted signal to the RF amplifier.

Digital pre-distorter (DPD) coefficients can be used to compensate for non-linearity of a power amplifier (PA). A system can receive a defined waveform from transmit hardware. The system can transmit an output waveform with a defined modulation from the PA. The system can capture samples of the output waveform. The system can submit the samples to a processing system temporarily connected to a transmitter system. The system can compute a PA model using the defined waveform and the samples. The system can determine a plurality of Digital Pre-Distorter (DPD) coefficients for a plurality of power levels, frequencies, and temperatures based on the PA model. The system can store the plurality of DPD coefficients to a memory of the transmitter system. Additionally, the system can add predistortions using the plurality of DPD coefficients to a plurality of input waveforms to correct for impairments introduced by the PA.

Aspects of this disclosure relate to digital compensators, such as digital predistortion systems. Digital predistortion systems disclosed herein use a neural Volterra approach. Such digital predistortion systems can include a first processing path, an envelope processing path comprising an envelope artificial neural network, multipliers configured to multiply respective output signals of the first processing path and the envelope processing path, and a combiner configured to generate a combined output signal based on at least output signals of the multipliers. The combined output signal is a digitally predistorted version of the input signal.

The present application relates to a signal processing apparatus, comprising: a first switch unit configured to receive a first analog signal; a first analog-to-digital conversion unit coupled to the first switch unit and configured to convert the first analog signal into a first digital signal; a core processing unit coupled to the first analog-to-digital conversion unit and configured to process the first digital signal and output a second digital signal at least comprising digital pre-distortion information; a first digital-to-analog conversion unit coupled to the core processing unit and configured to convert the second digital signal into a second analog signal; and the second switch unit is coupled to the first digital-to-analog conversion unit and is configured to output the second analog signal. The invention further relates to a signal processing method and electronic equipment. According to the invention, the problems of performance and linearity caused by a power amplifier can be overcome, and the processing performance and the adaptability are relatively high.

A first communication apparatus receives first configuration information from the second communication apparatus, where the first configuration information includes information about at least one resource. The first communication apparatus receives at least one first signal from the second communication apparatus by using the at least one resource. The first communication apparatus determines first digital predistortion DPD parameter information based on the at least one first signal received by the first communication apparatus. The first communication apparatus sends the first DPD parameter information to the second communication apparatus.

A bias circuit (3300) for a power amplifier (3310) is disclosed. The bias circuit (3300) may select between different power sources based on a power need for the power amplifier (3310). As voltage levels between the different power sources may differ at the moment of transition, additional circuitry is provided to smooth the transition between the differing power levels. Further, the bias circuit (3300) may provide bias signals to multiple stacked transistors in the power amplifier (3310) in such a manner so as to avoid collapsing any of the transistors. One such approach is a piecewise linear bias signal. Still further, the bias circuit (3300) may interoperate with predistortion circuitry to assist in linear operation of the power amplifier (3310). Still further, the bias circuit (3300) may interoperate with protection circuitry to prevent over current, over voltage, or over power conditions that may damage the power amplifier (3310).

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, an apparatus may include first transceiver hardware comprising: first processing logic configured to generate a first plurality of output streams associated with a first sub-array of antenna elements of an antenna array by applying a first inverse power-amplifier- to-antenna-array network (A-l) matrix to one or more first input streams; and a first plurality of digital predistortion (DPD) circuits that are apply first DPD to the first plurality of output streams. The apparatus may include second transceiver hardware comprising: second processing logic configured to generate a second plurality of output streams associated with a second sub-array of antenna elements of the antenna array by applying a second A-l matrix to second one or more input streams, and a second plurality of DPD circuits configured to apply second DPD to the second plurality of output streams.

The present invention discloses a digital predistortion system and method based on a random forest algorithm, the system comprising a digital predistortion model based on the random forest algorithm, a digital-to-analog converter, a transmitter link and a power amplifier; the method comprises establishing a digital predistortion model using a training set and a validation set, building a digital predistortion system, and system operation; the present invention performs predistortion processing on an input signal through a digital predistortion model, so that the input signal has nonlinear characteristics opposite to the input-output characteristics of the power amplifier, and then passes the preprocessed signal through a digital-to-analog converter, a transmitter link and a power amplifier to obtain an output signal having a linear amplification relationship with the original input signal, thereby realizing linear amplification of the signal. The present invention can construct a digital predistortion model with a simple principle, easy implementation and low computational complexity to realize linearization of the power amplifier.

The invention relates to the technical field of transmit-receive converters, in particular to a short wave transceiver common antenna transmit-receive converter based on a PIN diode. The transmit-receive converter comprises a power control module used for monitoring the output power of a power amplifier in real time and dynamically adjusting the output power through a variable attenuator; the cooperative control unit is configured to adjust the attenuation amount of the output power according to the power control module; determining an adjustment strategy of a pre-distortion coefficient in a digital pre-distortion algorithm; and the digital pre-distortion module is used for determining a pre-distortion coefficient in a digital pre-distortion algorithm according to the adjusted output power and the integer strategy so as to compensate nonlinear distortion of the power amplifier through the pre-distortion coefficient.

Systems and methods for digital predistortion (DPD) are disclosed herein. In an example embodiment, a digital front-end circuit includes a digital predistortion (DPD) block having a first input terminal and first output terminal, a PA having a second input terminal and second output terminal, and a transmitter coupling the first output terminal at least indirectly with the second input terminal. The DPD block is configured to receive a first input signal and to provide a first output signal having first and second components at the first output terminal. The DPD block includes a main distortion kernel that is configured to generate the first component, and a nonlinear memory kernel that is configured to generate the second component. The nonlinear memory kernel is configured to perform processing at least in part by a nonlinear envelope modulator including a linear finite impulse response (FIR) filter.

In some embodiments, in a radio frequency (RF) transceiver system having an RF amplifier and a digital pre-distorter (DPD), a control unit includes: one or more inputs, at least one of which is connected to receive a first signal corresponding to a signal desired to be transmitted via the RF amplifier or a modified version thereof circuitry configured to generate a control signal for controlling supply voltage level of the RF amplifier; and an output connected to provide the control signal to the DPD and to a circuit to alter the supply voltage level of the RF amplifier, wherein the DPD is configured to apply digital predistortion to the signal to be transmitted based at least in part on combining the first signal with a second signal corresponding to the control signal or a translated version thereof, and to provide a resulting pre-distorted signal to the RF amplifier.

In some embodiments, in a radio frequency (RF) transceiver system having an RF amplifier, a digital pre-distorter (DPD) includes: preprocessing blocks collectively configured to receive input signals and to output preprocessed signals; and a nonlinear combiner. The input signals include a transmit signal and a control signal. The preprocessed signals include a first and a second preprocessed signal, the second preprocessed signal derived at least in part from the control signal. The preprocessing blocks include delay blocks configured to provide the first preprocessed signal corresponding to a delayed or advanced version of the transmit signal with respect to itself. The nonlinear combiner is configured to combine the first and preprocessed signal to provide a pre-distorted version of the transmit signal for transmission via the RF amplifier.

This disclosure provides a communication system comprising a first branch and a second branch. The first branch includes a transmit chain and a reference chain. The transmit chain includes a DPD, a DAC, a frequency mixer, a power amplifier (PA), a circulator, a filter, and a first antenna array that are sequentially connected. The second branch includes a receive chain comprising a second antenna array, a low noise amplifier, a frequency mixer, and an ADC that are sequentially connected. In an SBFD slot, the transmit chain is configured to perform downlink radio frequency transmission on a baseband signal; the receive chain is configured to perform uplink radio frequency transmission on a radio signal; and the reference chain collects a radio frequency signal output by the PA, uses the radio frequency signal as a reference signal, and performs linear cancellation processing on a received signal output by the receive chain.