1893results about "Amplifier modifications to reduce non-linear distortion" patented technology

Systems, methods, apparatuses, and computer program products for network-assisted signaling for uplink digital pre-distortion (DPD). A gNB may use an uplink reference signal (RS) to measure a user equipment's (UE's) power amplifier (PA) nonlinearity, where the UE may transmit its UE-specific RS with maximum transmit (Tx) power at a PA measurement window in the uplink. The gNB may train an artificial intelligence-based model to approximate the pre-distortion function (with PA parameters). The gNB may signal DPD-related information, and the UE may determine (and adjust) its DPD function based on the gNB signalling.

The invention relates to the technical field of wireless communication, and provides a radio frequency low-noise amplifier which comprises an input matching module, a power amplification module, an output matching module, an RC attenuation module and an RC feedback module, the first end of the first inductor serves as the input end of the output matching module, the first end of the first inductor is connected with the output end of the power amplification module, the control end of the switch and the first end of the first adjustable resistor, and the second end of the first inductor is connected with the first end of the second inductor and the first end of the third capacitor. The output end of the switch is connected with the first end of the first capacitor and the first end of the second capacitor. The second end of the second capacitor is connected with the second end of the first adjustable resistor and the second end of the second inductor and used for being connected with a power supply. The second end of the first capacitor is connected with the second end of the third capacitor and serves as the output end of the output matching circuit. The radio frequency low-noise amplifier is adjustable in gain, low in noise and good in linearity performance.

The embodiment of the invention provides a closed-loop control method for power driving and protection, and the method comprises the steps: constructing a voltage feedback type circuit through a high-speed operational amplifier, and forming a closed-loop gain structure through a feedback network of the voltage feedback type circuit; the load current of the output end of the voltage feedback type circuit is monitored in real time, and when the load current exceeds a first set threshold value, a protection mechanism is triggered to turn off the output stage; the power-on surge current is limited through the soft start control circuit; phase information of a load reflection coefficient is obtained, an inductance / capacitance combination of the variable dynamic impedance matching network is selected according to phase information table look-up, inductance / capacitance parameters are switched through a relay, and the transmission standing-wave ratio between the power amplifier and a load is optimized; monitoring the temperature of the radiating fin of the power tube, and dynamically adjusting the resistance value of the feedback network; and performing cooperative control of short-circuit protection, over-temperature protection and surge suppression according to the priority. According to the embodiment of the invention, the performance bottleneck in a load fluctuation scene is broken through.

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.

An amplifier circuit including a first amplifier having a first amplifier input and a first amplifier output and a transformer including a first transformer component having a first primary winding in series with the first amplifier output and a first secondary winding coupled to the first amplifier input. The first primary winding and the first secondary winding are arranged such that a portion of a first magnetic field generated by the first primary winding couples to the first secondary winding through a first magnetically coupled feedback loop. The transformer further includes a second transformer component having a second primary winding in series with an output of a second amplifier and a second secondary winding coupled to an input of the second amplifier input. A portion of a second magnetic field generated by the second primary winding couples to the second secondary winding through a second magnetically coupled feedback loop.

The invention discloses a digital pre-distortion method, system and device and a storage medium, and relates to the technical field of aerospace communication. The method comprises the following steps: acquiring a first input signal and a first actual output signal of the power amplifier, and acquiring a thermal state characteristic; constructing a three-dimensional dynamic baseline; superposing the detection sequence into the first input signal to obtain a second input signal, obtaining a corresponding second actual output signal, and predicting an ideal output signal of the second input signal; extracting a harmonic component generated after the detection sequence passes through a power amplifier, and determining a distortion early warning moment; recording a third input signal after the distortion early warning moment; constructing a virtual test signal according to the third input signal, and predicting to obtain a reference output signal; and comparing the difference between the distortion output signal and the reference output to obtain a distortion feature vector, constructing a dynamic increment compensation function, and correcting the signal processing flow of the power amplifier based on the dynamic increment compensation function. And the accuracy of digital pre-distortion is improved.

The utility model relates to a radio frequency power amplification circuit with a harmonic suppression function and a radio frequency chip. The radio frequency power amplification circuit comprises an input matching unit, a first-stage power amplification unit, a first-stage bias unit, a first-stage power supply unit, an inter-stage matching unit, a second-stage power amplification unit, a second-stage bias unit, a second-stage power supply unit and an output matching unit. According to the utility model, the LC type trap circuits are designed and used in the power supply unit and the inter-stage matching unit, so that secondary, tertiary and high-order harmonic suppression is realized in the radio frequency power amplification circuit; meanwhile, based on LC circuit structures in the power supply unit and the inter-stage matching unit, the inter-stage matching bandwidth is widened, and the linearity of the multi-stage power amplification unit is improved.

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.

Disclosed are a power amplifier and a method for controlling a power amplifier. The method includes providing an input signal to the first amplification path and the second amplification path; and supplying a first DC bias voltage and a second DC bias voltage to a control port of the third transistor and a control port of the fourth transistor respectively, where current conduction trenches of the third transistor and the fourth transistor comprise same materials and the first DC bias voltage is higher than the second DC bias voltage.

The invention relates to a digital pre-distortion method and system based on a hierarchical iterative neural network, and belongs to the field of digital pre-distortion of power amplifiers. According to the method, the pre-distortion process is decoupled into two stages of off-line generalization training and on-line specialization optimization. In the offline stage, a mixed data set containing multiple modulation modes and bandwidths is adopted to train an offline neural network, and a basic model with high generalization ability is constructed; in the online stage, aiming at a signal with a specific modulation mode and bandwidth, a single configuration data set is utilized to train an online neural network, and the accurate compensation capability of the model on a real-time input signal is enhanced. In practical application, a baseband signal is firstly subjected to targeted preprocessing through the online neural network, then is subjected to deep optimization through the offline neural network, and finally is input into the power amplifier PA. According to the method, through a generalization-specialization double-layer structure, the dynamic response capability and compensation precision of a digital pre-distortion system to a complex signal environment are remarkably improved.

The invention relates to the field of radio frequency integrated circuits, in particular to a power amplifier capable of adaptively optimizing dynamic performance, which comprises an input matching circuit with an output end connected to a base electrode of a radio frequency amplification transistor HBT0 and an active biasing circuit. The base electrode of the radio frequency amplification transistor HBT0 is connected to the input matching circuit and the active bias circuit, the emitter electrode of the radio frequency amplification transistor HBT0 is connected to one end of the ballast resistor R0, the collector electrode of the radio frequency amplification transistor HBT0 is connected to the power supply Vcc and the output matching circuit, and the other end of the ballast resistor R0 is grounded; one end of the output matching circuit is connected to a radio frequency output port and used for providing proper load impedance for the power amplifier tube, and the other port of the output matching circuit is connected to a collector of the radio frequency amplifier transistor HBT0; the active bias circuit is connected to the base electrode of the radio frequency amplification transistor HBT0 and provides bias current for the radio frequency amplification transistor HBT0, dynamic gain control over the power amplifier is achieved, and therefore the dynamic linearity of the circuit is improved.

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.

Front end systems and related devices, integrated circuits, modules, and methods are disclosed. One such front end system includes a low noise amplifier in a receive path and a multi-mode power amplifier circuit in a transmit path. The low noise amplifier includes a first inductor, an amplification circuit, and a second inductor magnetically coupled to the first inductor to provide negative feedback to linearize the low noise amplifier. The multi-mode power amplifier circuit includes a stacked output stage including a transistor stack of two or more transistors. The multi-mode power amplifier circuit also includes a bias circuit configured to control a bias of at least one transistor of the transistor stack based on a mode of the multi-mode power amplifier circuit. Other embodiments of front end systems are disclosed, along with related devices, integrated circuits, modules, methods, and components thereof.

The invention relates to the technical field of radio-frequency signal processing, and discloses a 5G radio-frequency signal amplification method and system, and the method comprises the steps: decomposing an obtained radio-frequency signal into a high-frequency sub-band and a low-frequency sub-band through a multilayer wavelet packet, judging whether the radio-frequency signal is sparse in a wavelet packet domain, and carrying out the sparse reconstruction of an LI norm minimization problem if the radio-frequency signal is sparse; obtaining feature data of each sub-band, extracting a nonlinear transfer function of each sub-band through a CNN-GRU network, and carrying out transfer learning pre-training and dynamic adaptation updating; on the basis of dynamic adaptation update ending, layered memory polynomial calculation and layered model joint output construction, layered model parameter optimization is converted into a least square problem to obtain an error compensation function, and resource allocation is dynamically adjusted according to the peak-to-average power ratio of an input signal; and based on power amplifier state data, holographic sensing is performed on nonlinear parameters of the device through a fusion model, and dynamic changes of the device are compensated through multi-stage calibration and calibration delay is controlled.

A logarithmic amplifier system is disclosed. The system includes first and second amplifiers respectively having first and second gains; a first multiplier having an input connected to an output of the first amplifier, and being configured to output a first multiplied signal based on an output signal of the first amplifier and based on a received first multiplication factor equal to a value K; a second multiplier having an input connected to an output of the second amplifier, and being configured to output a second multiplied signal based on an output signal of the second amplifier and based on a received second multiplication factor equal to 1 minus the value K; a transition shaping circuit configured to change the value K from 0 to 1 with a filtered transfer function; and a summing circuit having inputs coupled to outputs of the first multiplier and the second multiplier.

The invention discloses a C / X wave band ultra-wideband GaAs MMIC low-noise amplifier, and mainly relates to the technical field of radio frequency front ends. Comprising an input matching network used for receiving a radio frequency signal and performing impedance matching so as to effectively transmit the signal to a subsequent active amplification part; and the active amplification part adopts an improved cascode-cascode cascade amplification structure and is used for amplifying the radio frequency signal transmitted by the input matching network. The amplifier has the advantages that an improved cascode-cascode cascade amplification structure is adopted, the gain is improved through an improved Cascode structure, the noise coefficient of the circuit is reduced, and the performance indexes of ultra wide band, low noise and high gain are achieved. The design of the structure not only improves the overall performance of the amplifier, but also enables the amplifier to keep stable gain output in a broadband range, and effectively solves the problems of low gain and high noise of a traditional low-noise amplifier in broadband application.

The invention discloses a power synthesis amplifier which comprises two power amplification structures, and each power amplification structure is composed of an input matching circuit, a driving stage amplifier DA, an inter-stage matching circuit, a power stage amplifier PA and an output matching circuit. The input end of the power synthesis amplifier is connected by a T-junction power distribution network; the output end of the power synthesis amplifier is connected with the T-junction power synthesis network. The output power of the power amplifier is improved by adopting a two-path synthesis technology, specifically, the power amplifier can be expanded to multiple paths according to needs, and an output power synthesis network adopts a current type synthesis network, so that the amplitude-phase balance of two paths of output signals and the current processing capability of a circuit are ensured, and the output efficiency is improved; the output-stage matching circuit adopts a transformer with a high coupling coefficient to reduce signal loss, the input and inter-stage matching networks adopt a transformer with a low coupling coefficient to play a role in expanding bandwidth, and the multi-stage matching circuit can be widely applied to the technical field of mobile communication and radar detection.

A squelch detection device is provided. The squelch detection device receives first and second input signals and first and second threshold voltages. The squelch detection device determines a first common mode of the first and second input signals and a second common mode of the first and second threshold voltages. The squelch detection device averages the first common mode with the second common mode to produce an average common mode and sets the first common mode of the first and second input signals to the average common mode. The squelch detection device sets the second common mode of the first and second threshold voltages to the average common mode and determines a state of a squelch signal, indicative of whether the first and second input signals are attributable to noise, based on the first and second input signals and the first and second threshold voltages.

A computer-implemented method performed by a device configured with a power feature aided machine learning, ML, model is provided that models a behavior of a DPD to reduce non-linear distortion of an output signal of a non-linear device. The method includes extracting a plurality of power features from an input signal destined to be input to the DPD. The method further includes labelling the extracted plurality of power features to obtain at least one labelled average power level; inputting the at least one labelled average power level to the input of the ML model to obtain an output signal from the ML model having characteristics to reduce the non-linear distortion of the output signal of the non-linear device; and providing the output signal from the ML model as an input to the non-linear device.

The invention relates to a folded cascode low noise amplifier. The disclosed low noise amplifiers (LNAs) include a common emitter amplifier (CE-A), a common gate amplifier (CG-A), and various passive devices located in CE-A and CG-A. The CE-A includes an NPN type bipolar junction transistor (BJT) having emitter and collector (E / C) regions, and a base region located between the E / C regions and connected to an input node. The CG-A includes a P-channel field effect transistor (PFET) having source and drain (S / D) regions, a channel region between the S / D regions, and a gate adjacent to the channel region. A drain region of the PFET is connected to the output node. Further, the common inductor, the collector region of the BJT, and the source region of the PFET are connected at an intermediate node. The LNA is implemented on a three-dimensional integrated circuit (3DIC) in which the BJT and the FET are located on different chips and the passive device is located in a back-end-of-line region between the BJT and the FET.

The present invention relates to the technical field of radio frequency. Disclosed are a power amplifier circuit and a radio frequency power amplifier module. The power amplifier circuit comprises a signal input end, a first-stage power amplifier, a coupler, an inter-stage matching circuit, a final-stage power amplifier, an output matching circuit, and a signal output end. The final-stage power amplifier comprises a first field-effect transistor. The power amplifier circuit further comprises a power detection module, a capacitor assembly consisting of multiple capacitors connected in parallel, a first triode, a first resistor, a triode assembly consisting of one or more triodes connected in series, a second resistor, a first capacitor, a third resistor, a first inductor, a second capacitor, and a varicap diode. According to the power amplifier circuit of the present invention, the amplitude modulation and phase modulation performance of amplifiers can be optimized, the technical implementation is simple, and the cost is low.

The invention provides a dynamic residual amplification circuit based on charge sampling, and relates to the technical field of integrated circuits, the dynamic residual amplification circuit comprises an integrating circuit, a logic circuit, a charge pump and a zero-cross detection circuit, the integrating circuit is connected with the logic circuit and the zero-cross detection circuit, the integrating circuit converts a sampled input differential signal into a constant current, and the constant current is connected with the charge pump. The output node is continuously charged or discharged, so that the input differential signal is converted into a current integral quantity; the zero-cross detection circuit monitors the output voltage of the integrating circuit in real time, and when the output voltage is greater than or equal to the common mode voltage VCM, the moment when the output voltage is equal to the common mode voltage VCM is converted into a digital clock edge; the logic circuit is connected with the charge pump and outputs digital pulses to the charge pump according to the digital clock edge so as to control the reset time sequence of the whole dynamic residual amplification circuit; the charge pump is configured to output a residual voltage modulated by the digital pulse in response to the digital pulse. The application helps to improve the linearity of the residual signal.

A digital pre-distortion (DPD) circuit includes a DPD and a power amplifier (PA). The DPD module is configured to: obtain features of a first input signal, determine a first coefficient and a second coefficient based on the features of the first input signal, generate a second signal based on the first input signal and the first coefficient, generate a first output signal based on the second signal and the second coefficient, and input the first output signal to the power amplifier. The PA is configured to amplify the first output signal to generate a second output signal.

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.

Front end systems and related devices, integrated circuits, modules, and methods are disclosed. One such front end system includes a low noise amplifier in a receive path and a multi-mode power amplifier circuit in a transmit path. The low noise amplifier includes a first inductor, an amplification circuit, and a second inductor magnetically coupled to the first inductor to provide negative feedback to linearize the low noise amplifier. The multi-mode power amplifier circuit includes a stacked output stage including a transistor stack of two or more transistors. The multi-mode power amplifier circuit also includes a bias circuit configured to control a bias of at least one transistor of the transistor stack based on a mode of the multi-mode power amplifier circuit. Other embodiments of front end systems are disclosed, along with related devices, integrated circuits, modules, methods, and components thereof.

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.

In one example method, a network device sends first configuration information and second configuration information to a terminal device, where the first configuration information indicates configuration information of Q reference signals, and the second configuration information indicates model parameters of equivalent power amplifiers connected to Q digital channels of the network device. The terminal device receives the Q reference signals sent by the network device to obtain a receiving signal. The terminal device determines a model coefficient of an equivalent power amplifier based on the receiving signal, the configuration information of the Q reference signals, and the model parameters of the equivalent power amplifiers. The terminal device sends the model coefficient of the equivalent power amplifier to the network device. The network device determines, based on the model coefficient, a digital predistortion coefficient corresponding to the digital channel.

Techniques for echo cancellation in an RFID reader include incorporating an auxiliary error power amplifier (auxiliary PA) into the RFID reader, and dynamically adjusting a bias setting of the auxiliary PA based on a power level of a reflection of a signal transmitted by the RFID reader (“echo signal”) as measured at the RFID reader. When the measured echo signal power level is high, techniques herein set the auxiliary PA bias setting to a higher level to allow the auxiliary PA to account for the stronger echo signal. Inversely, when the measured echo signal power is low, techniques herein set the auxiliary PA bias setting to a lower level to reduce power consumption while the enabling the RFID reader to cancel echo phenomena and reliably detect signal responses from RFID tags in an environment.

There is provided mechanisms for operating a DPD for a non-linear electronic device. A method is performed by a DPD controller. The method comprises receiving an input signal destined to be input to the non-linear electronic device. The method comprises selecting a basis function that represent non-linear input-output characteristics of the non-linear electronic device. The basis function is defined by kernels of a pruned Volterra series, and comprises higher-than-order-1 polynomial terms, polynomial cross-terms, memory cross-terms, and common tap delays shared by all polynomial terms. The method comprises obtaining an output signal by subjecting the input signal to a linearization function defined by the basis function. The method comprises providing the output signal as input to the non-linear electronic device.

The invention provides a self-adaptive linearization biasing circuit, a radio frequency module, a chip and electronic equipment. The self-adaptive linearization biasing circuit comprises a biasing sub-circuit and a commutator circuit. The output end of the bias sub-circuit, the control end of the commutator circuit and the radio frequency input end of the power amplifier are coupled to a first node, the output end of the commutator circuit is coupled to a voltage division node of the bias sub-circuit, and the commutator circuit is configured to generate a feedback signal according to the compensation current of the bias sub-circuit to the power amplifier, therefore, the bias sub-circuit reduces the compensation current while not influencing the linearity compensation function. According to the invention, AM-AM distortion is not deteriorated while the current of the power amplifier is reduced, so that the efficiency is optimized while the linearity compensation function is not influenced.