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A Neural Network Based Power Amplifier

A power amplifier, neural network technology, applied in the direction of power amplifier, amplifier, amplifier input/output impedance improvement, etc., can solve the problems of poor linearity, poor output power stability, low efficiency and so on

Active Publication Date: 2020-10-23
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional power amplifier has a simple structure and is easy to integrate, but its linearity is poor, the efficiency is low, and the output power stability is poor, which cannot meet the increasing demands of modern products.

Method used

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  • A Neural Network Based Power Amplifier
  • A Neural Network Based Power Amplifier
  • A Neural Network Based Power Amplifier

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Embodiment Construction

[0022] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0023] The circuit principle of the present invention is as figure 1 As shown, it includes the core circuit module of the power amplifier, the linearity improvement circuit module, the output matching circuit module and the output amplitude control circuit module based on the neural network; its specific implementation includes the design and implementation of the core circuit of the power amplifier, and the output based on the neural network The design and implementation of the amplitude control circuit module, the design and implementation of the linearity improvement circuit module, etc.;

[0024] The design of the core circuit of the power amplifier, the circuit diagram shown in Figure 2, adopts a two-stage cascode power amplifier structure, including a power drive stage composed of a common-source NMOS transistor (M1) and a common-gate NM...

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Abstract

The invention belongs to the technical field of neural networks and power amplifiers, in particular to a neural network-based power amplifier. The present invention uses feedback technology to connect the linearity improvement circuit module with the power amplifier circuit and the power drive circuit, and generates a 180-degree phase shift through a feedback network composed of capacitors and resistors, so that the coupling signals are offset to a certain extent, reducing the cost of the common grid. The influence of the device on the linearity of the power amplifier; the power amplifier is connected with the amplitude control circuit module based on the neural network to realize the amplitude control; and the invention has simple structure, low power consumption and small area.

Description

technical field [0001] The invention belongs to the technical field of neural networks and power amplifiers, in particular to a neural network-based power amplifier. Background technique [0002] There are four types of traditional power amplifiers, and their main difference lies in the different biasing conditions. These amplifiers are classified as Class A, Class AB, Class B, and Class C, and all four amplifiers can be understood by the same model. In this general model, resistor R represents the load resistance to which we will deliver the output power. A "big fat" inductor BFL feeds DC power into the drain of the transistor and it is assumed that this inductor is large enough that the current through it is essentially constant. The drain is connected to a tank tank via capacitor BFC to prevent any DC power dissipation in the load. One advantage of this particular form of power amplifier is that the output capacitance of the transistor can be absorbed into the tank cir...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H03F3/21H03F1/32H03F1/34H03F1/56
CPCH03F1/3205H03F1/342H03F1/565H03F3/21
Inventor 刘洋莫雁杰雷旭顾珣于奇
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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