22 results about "Amplifier distortion" patented technology

A method for adaptively estimating distortion coefficients of a power amplifier for compensating distortion of the power amplifier, the method has the steps of: estimating the power-amplifier distortion coefficients based on a first digital signal for generating a radio-frequency analog signal through the power amplifier, and a second digital signal obtained from the radio-frequency analog signal. The first digital signal has a length adaptively variable based on a predefined distortion-estimation accuracy.

A method for reducing receive band leakage may include: sensing, at a full duplexer, passive intermodulation distortion and power amplifier distortion; generating, at a processing device, a passive intermodulation distortion and power amplifier distortion cancellation signal; and cancelling, on a receive path, the passive intermodulation distortion and power amplifier distortion using the passive intermodulation distortion and power amplifier distortion cancellation signal.

The invention discloses a broadband amplifier with low balun error, high linearity and low noise. The broadband amplifier comprises an input end, a common-source amplifier, a differential current balancer, an OTA, a load circuit and an enhanced source follower, an input signal enters from a P1 port and enters the first common source stage amplifier, one path of signal enters the differential current balancer, and the other path of signal enters the second common source stage amplifier and enters the differential current balancer; the two paths of signals are transmitted to ports P5 and P6 to output differential signals; the OTA adjusts the high-order nonlinearity of gds by detecting common-mode levels of P5 and P6 and feeding back a bias level of a control load circuit, compensates offset residues of distortion components of a source follower and a main common-source amplifier, realizes high linearity, and reduces Balun errors through a triple Balun error correction technology. According to the invention, the working frequency range is 0.2 GHz to 6GHz, and the low-Balun error, high-linearity and low-noise performances are realized.

A digital predistortion method, device and electronic device for a multi-antenna satellite system provided by the present application relate to the field of satellite communication. The present application is based on a multi-gated mixture-of-experts network, uses an expert network and a private network to learn common features and private features, and uses a gating network to adaptively select features for different tasks. By automatically adjusting the parameterization between the common features and the private features, the predistortion model can effectively learn complex data distributions, improve linearization performance, and reduce cross-channel nonlinear crosstalk. Compared with the existing neural network-based predistortion models, the predistortion model of the present application can obtain a more accurate power amplifier inverse model under the same number of training iterations to effectively compensate for multi-channel power amplifier distortion and crosstalk. Compared with the existing polynomial machine learning methods, the predistortion model has superior performance in both nonlinear distortion compensation and crosstalk suppression.

The present invention aims to address the problem that existing digital pre-distortion methods for improving shortwave power amplifier distortion can only improve the intermodulation distortion of shortwave power amplifiers, have no ability to suppress harmonic distortion, and cannot improve the overall performance of shortwave power amplifiers. Instead, the present invention provides a system and method for improving shortwave intermodulation and harmonic distortion. This method, based on the integration of a cross-memory polynomial pre-distortion model and targeting the characteristics of shortwave signal formats and the memory effect of shortwave power amplifiers, further adopts an FIR structure in the model and utilizes its low-pass filtering characteristics to suppress higher-order harmonics in the octave of the shortwave power amplifier, while improving intermodulation and harmonic suppression, and extracting pre-distortion parameters with a higher degree of consistency, thereby improving the performance of the digital pre-distortion system.

The present application discloses a method and system for high-order modulation signal demodulation and equalization processing. A data transmission demodulation unit test system that supports high-order modulation and multi-loop targeted processing based on a distorted constellation diagram and its equalization processing method can effectively address various channel distortion problems and ensure high demodulation performance even under low signal-to-noise ratio conditions through an improved CMA and LMS combined equalization scheme, a multi-loop targeted processing module based on a distorted constellation diagram, and a line amplifier distortion compensation module. This scheme has broad application prospects and is particularly suitable for high-demand digital communication systems, especially in the fields of satellite communication and broadband communication.

The invention discloses a high-order modulation signal demodulation and equalization processing method and system. According to the data transmission demodulation unit test system supporting high-order modulation and multi-circle targeted processing based on the distorted constellation diagram and the equalization processing method thereof, through an improved CMA and LMS combined equalization scheme, a multi-circle targeted processing module based on the distorted constellation diagram and a line amplifier distortion compensation module, various channel distortion problems can be effectively solved, and the performance of the data transmission demodulation unit test system is improved. And high demodulation performance can still be realized under the condition of low signal-to-noise ratio. The scheme has a wide application prospect, and is particularly suitable for digital communication systems with high requirements, especially the fields of satellite communication and broadband communication.

Apparatus and methods for power amplifier distortion networks are disclosed. In one aspect, there is provided a power amplifier system including a power amplifier configured to amplify a radio frequency input signal. The power amplifier including an input configured to receive the radio frequency input signal and an output configured to generate an amplified radio frequency signal. The power amplifier system further includes a distortion network electrically coupled to either the input or the output of the power amplifier. The distortion network including a plurality of channelized resistors. The channelized resistors connected in series to either an input or an output of the power amplifier.

The invention relates to bias techniques for low distortion amplifiers. Biasing techniques for reducing amplifier distortion are described. The adjusting loop is used for keeping the sum of collector currents input into the differential pair constant. The regulation loop includes an error correction amplifier that compares the sum of the input differential pair of collector currents with a reference current and regulates the control voltage at the transistor control terminals to maintain the current equal to or proportional to the reference current.

The application discloses a low-barret error, high-linearity and low-noise wideband amplifier, which comprises an input end, a common-source amplifier, a differential current balancer, an OTA, a load circuit and an enhanced source follower; an input signal enters from a P1 port, enters a first common-source amplifier, one-way signal enters the differential current balancer, and another way signal enters a second common-source amplifier and enters the differential current balancer; two-way signals are transmitted to P5 and P6 ports to output differential signals; the OTA detects the common-mode level of P5 and P6, feeds back the bias level of the load circuit to adjust g ds The application realizes high linearity by compensating the residual offset of the distortion components of the source follower and the main common-source amplifier, and reduces the barret error through a triple barret error correction technology. The application realizes the performance of low barret error, high linearity and low noise in the working frequency range of 0.2GHz to 6GHz.

The invention provides a frequency hopping predistortion method and system based on model prediction, relates to the technical field of frequency hopping communication, and aims to reduce the time for waiting for preceding stage convergence by correcting modulator distortion and amplifier distortion at the same time. By constructing a digital pre-distortion coefficient prediction model, a preset coefficient of a next-hop frequency hopping signal can be accurately solved; before each hop of frequency hopping input signal is input into the frequency hopping equipment, correction is carried out by using the preset coefficient to obtain the digital pre-distortion signal, so that the problem of low overall performance caused by poor early-stage performance of the signal is avoided. According to the invention, the performance of the digital pre-distortion technology in the frequency hopping equipment can be improved, the transmission performance of the frequency hopping signal is improved, and the light weight of the frequency hopping equipment is facilitated.

A method for switching interval modulation includes modulating an RF input data signal while generating and inserting additional pulses in transitions of the data signal. The additional pulses are structured to shift transition noise into higher order harmonics. Higher order harmonics are easily filtered. The generating is conducted in the digital domain. The additional pulses can be used to simplify the transmit chain through optical modulators and improve the signal integrity over long distances, can be applied at the output of a transmitter to filter power amplifier distortion, and can be applied to non-linear RF over fiber for a distributed MIMO system.

This invention discloses a precoding method for power amplifier distortion-resistant multi-antenna systems, belonging to the field of wireless communication and radar sensing fusion technology. This invention is mainly applied to integrated sensing systems. Compared with traditional integrated sensing systems that do not consider power amplifier nonlinearity, this invention incorporates the power amplifier nonlinearity into the system performance, providing a received signal model and sensing and rate indices under power amplifier distortion conditions. Compared with classical precoding algorithms, this invention considers the impact of power amplifier distortion, resulting in superior performance in practical systems. Furthermore, this invention uses alternating optimization and manifold optimization to solve the non-convex problem of rate maximization, and employs a two-stage solution, enabling its application to hybrid beamforming arrays and making it suitable for real-time applications.

The application discloses a digital pre-distortion method, which is applied to an electronic device. The electronic device is configured with a digital pre-distortion module for performing overall pre-distortion processing on signals before signal amplification of multiple transmission channels of the electronic device. The digital pre-distortion module comprises a first pre-distortion unit, a second pre-distortion unit and a third pre-distortion unit. The first pre-distortion unit and the second pre-distortion unit are arranged on a first platform of the electronic device. The third pre-distortion unit is arranged on each transmitter connected with an output of the first platform. The digital pre-distortion method comprises the following steps: calling the first pre-distortion unit to eliminate linear crosstalk among the multiple transmission channels; calling the second pre-distortion unit to eliminate nonlinear crosstalk among the multiple transmission channels; and calling the third pre-distortion unit to eliminate power amplifier distortion of each transmission channel. The application further discloses an electronic device, a computer readable storage medium and a computer program product.

A reconfigurable amplifier configured to decrease radio frequency (RF) signal distortion and increase dynamic range is disclosed. The reconfigurable amplifier includes an amplifier having an RF signal input, an RF signal output, and a bias signal input. A distortion detection network has a detector input coupled to the RF signal output and a detector output, wherein the distortion detector network is configured to generate a detection signal that is proportional to distortion at the RF signal output. A bias controller has a detection signal input coupled to the detector output and a bias output coupled to the bias signal input.10 The bias controller is configured to generate a bias signal that dynamically shifts level at the bias output to reduce the distortion at the RF signal output in response to the detection signal.

Biasing techniques for reducing distortion in amplifiers are described. A control loop is used to keep the sum of the collector currents of the input differential pair constant. The control loop includes an error correction amplifier that compares the sum of the input differential pair collector current with a reference current and adjusts a control voltage at a control terminal of a transistor to keep the current equal to or proportional to the reference current.

A compensator compensates for distortion of a power amplifier circuit. A power amplifier neural network (PAN) is trained to model the power amplifier circuit using a predetermined input and output signal pair characterizing the power amplifier circuit. The compensator is then trained to pre-distort a signal received by the PAN. The compensator uses the trained neural network to optimize a loss between an input to the compensator and an output of the PAN, and the loss is computed according to a multi-objective loss function including one or more time-domain loss functions and one or more frequency-domain loss functions. The trained compensator performs signal compensation, outputting a pre-distorted signal to the power amplifier circuit.

The invention provides a digital pre-distortion method and device of a multi-antenna satellite system and electronic equipment, and relates to the field of satellite communication, and the digital pre-distortion method is based on a multi-gating hybrid expert network, utilizes an expert network and a private network to learn common features and private features, and utilizes the gating network to adaptively select features for different tasks. By automatically adjusting parameterization between common features and private features, the predistortion model can effectively learn complex data distribution, improve linearization performance and reduce cross-channel nonlinear crosstalk. Compared with an existing pre-distortion model based on a neural network, the pre-distortion model provided by the invention can obtain a more accurate power amplifier inverse model under the training of the same number of iterations, so as to effectively compensate the distortion and crosstalk of the multi-path power amplifier. Compared with an existing polynomial machine learning method, the pre-distortion model has more excellent performance in the aspects of nonlinear distortion compensation and crosstalk suppression.

Methods and systems and devices for adaptively updating digital predistortion parameters for a power amplifier distortion model in a wireless communications network base station. The updated parameters are determined by a computing device separate from the base station. The base station monitors one or more operating conditions. When an operating condition differs from a stored operating condition by more than a threshold amount, the base station requests a parameter update from the computing device and receives a scheduled time to submit signals. Power amplifier input and output signals are provided to the computing device at the schedule time and the computing device determines the updated power amplifier distortion model and, consequently, the updated predistortion parameters, which it provides to the base station.

Embodiments include methods for a transmitter configured to generate transmissions to a receiver. Such methods include determining a backoff from a maximum allowed output power for a first transmission, which is to be amplified by a power amplifier (PA). The determined backoff is inversely related to an amount of distortion in the first transmission due to non-linearity of the PA. Such methods include selectively reducing the determined backoff by a first amount, based on whether compensation for the distortion is available at the receiver and / or at the transmitter. Such methods include sending one or more of the following information to the receiver: the determined backoff, an indication of whether the determined backoff was reduced, and the first amount by which the determined backoff was reduced. Other embodiments include complementary methods for a receiver, as well as transmitters and receivers configured to perform such methods.

A method for reducing receive band leakage may include: sensing, at a full duplexer, passive intermodulation distortion and power amplifier distortion; generating, at a processing device, a passive intermodulation distortion and power amplifier distortion cancellation signal; and cancelling, on a receive path, the passive intermodulation distortion and power amplifier distortion using the passive intermodulation distortion and power amplifier distortion cancellation signal.

The present invention relates to the field of audio amplification technology, and specifically discloses a power amplifier distortion compensation system based on deep learning, comprising: an input signal acquisition module, a deep learning distortion recognition module, a vacuum tube simulation module, a distortion compensation module, a PWM generation and optimization module, a power amplification module, and a feedback learning module; the system of the present invention combines a deep learning algorithm with a multi-band dynamic feature extraction method to achieve high-precision recognition of complex nonlinear distortion types such as harmonic distortion and dynamic distortion. Compared with traditional spectrum analysis or static filtering compensation, the system can dynamically adjust the compensation strategy and significantly reduce the impact of distortion on sound quality. Through a nonlinear even harmonic enhancement algorithm, the natural timbre and auditory texture of the audio signal are highly restored. Through a GAN framework, intelligent repair of signal distortion is achieved. The generator dynamically generates a high-fidelity compensation signal, and at the same time, a discriminator learns the characteristics of different distortion types to ensure that the repaired signal is close to the distortion-free target.