Signal processing method, device and equipment, storage medium, chip and module equipment

A signal processing and signal technology, applied in the computer field, can solve problems such as the need to improve the accuracy of nonlinear characteristics, increase the complexity of nonlinear characteristics and memory, and achieve the effect of improving the degree of signal distortion and the degree of linearization

Active Publication Date: 2021-05-28
UNISOC CHONGQING TECH CO LTD
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Problems solved by technology

[0003] With the rapid development of communication technology, the required communication rate is getting faster and faster. As an indispensable component in the communication system, the dynamic range of the power amplifier is also expanding, and the complexity of nonlinear characteristics and memory is also increasing. The traditional The accuracy of the polynomial model to simulate the nonlinear characteristics of PA needs to be improved

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  • Signal processing method, device and equipment, storage medium, chip and module equipment
  • Signal processing method, device and equipment, storage medium, chip and module equipment
  • Signal processing method, device and equipment, storage medium, chip and module equipment

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[0050] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0051] In the embodiment of the present application, the memory effect of the power amplifier is simulated by using a neural network with memory (i.e., memory neural network), and at the same time, the behavior model of the power amplifier is simulated by the memory neural network, and the nonlinear characteristics of the power amplifier are matched to obtain Behavioral model parameters, and then use the memory neural network that matches the characteristics of the PA to construct a digital ...

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Abstract

The embodiment of the invention discloses a signal processing method, device and equipment, a storage medium, a chip and module equipment. The method comprises the following steps: acquiring a to-be-processed signal; inputting the to-be-processed signal into a digital pre-distortion network to be processed, obtaining a pre-distortion signal, and obtaining the digital pre-distortion network by training a memory neural network through historical input signals and historical output signals of a power amplifier; and inputting the pre-distortion signal into a power amplifier to be processed, and obtaining a processed signal, wherein the processed signal and the to-be-processed signal are in a linear relation. According to the embodiment of the invention, the accuracy of linearization processing of the signal can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a signal processing method, device, computer equipment, storage medium, chip, and module equipment. Background technique [0002] As an important part of a base station transmitter, a power amplifier (Power Amplifier, PA) can amplify a signal and then transmit it. Usually, due to the nonlinear characteristics of the PA, the signal will be distorted when passing through the PA. Therefore, digital pre-distortion (Digital Pre-Distortion, DPD) is often used to realize the linearization of the PA. Specifically, the nonlinear characteristics of the power amplifier are simulated by using the traditional polynomial model, and then the corresponding inverse matrix operation is performed as a digital pre-distortion technology to process the broadband modulation signal. [0003] With the rapid development of communication technology, the required communication rate is getti...

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Application Information

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IPC IPC(8): H03F3/20H03F1/02G06N3/08
CPCH03F3/20G06N3/088H03F1/02Y02D30/70
Inventor 陈恒毅柯兰艳谭舒桂竟晶
Owner UNISOC CHONGQING TECH CO LTD
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