Radical basis function neural network predistortion method for adaptive power amplifier

A power amplifier and pre-distortion technology, which is applied in the direction of improving the amplifier to reduce nonlinear distortion, synchronization/start-stop system, multi-carrier system, etc., can solve the problems of complex implementation, large amount of calculation, high linearity, etc., and achieve simple implementation, Reduced complexity, high linearity effect

Inactive Publication Date: 2007-11-14
ZTE CORP
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Problems solved by technology

[0015] The purpose of the present invention is to provide a radial basis neural network predistortion method for adaptive power amplifiers. In view of the large amount of computation and complex implementation of the existing predistortion linearization method, and the inability to fully consider temperature, device aging, system The impact of various influencing factors such as time-varying charact

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  • Radical basis function neural network predistortion method for adaptive power amplifier
  • Radical basis function neural network predistortion method for adaptive power amplifier
  • Radical basis function neural network predistortion method for adaptive power amplifier

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Embodiment Construction

[0033] Various preferred embodiments of the present invention will be described in more detail below in conjunction with the accompanying drawings.

[0034] The inventive method as shown in Figure 1, comprises the steps:

[0035] A. The broadband multi-carrier input signal v(n) passes through the analog down-converter to form an intermediate frequency signal. The predistortion signal z(n) is generated through the radial basis function RBF (Radial basis function) network predistorter;

[0036] B. The predistortion component z(n) passes through the analog up-converter, and then is sent to the power amplifier to cancel the nonlinear component produced by the power amplifier; wherein the analog predistorter generates the predistortion signal z(n) according to Controlled by the error offset e(n) between the envelope signal and the digital feedback signal Vf(n) reflecting the linearity of the transmission channel, the control steps are as steps C to F;

[0037] C. Coupling part of...

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Abstract

The method includes following steps: (1) through simulated down converter, broadband multicarrier input signal forms intermediate frequency signal; (2) through simulated up converter, predistortion component is sent to power amplifier to counteract non-linear component generated by power amplifier; the said predistortion signal is controlled based on offset of error between envelope signal and digital feedback signal of reflecting linearity of transmission channel. Using scheme of self-adaptive radio nonlinear digital predistortion based on radial basic neural network, the invention reduces implementing complexity greatly, possesses features of higher linearity, and easy of implementation.

Description

technical field [0001] The invention relates to a predistortion method for an adaptive power amplifier, in particular to a method for realizing radio frequency predistortion linearization by using a radial basis neural network. Background technique [0002] In the field of mobile communication in recent years, communication systems aiming at efficient use of frequencies have received more and more attention. The linear modulation technology combining amplitude and phase changes is an effective way to improve the utilization of wireless spectrum, and the power amplifier is the main component of the transmitter of the communication system. In practical applications, in order to increase efficiency, the power amplifier is generally operated near the saturation point. Therefore, it often causes nonlinear distortion of the signal. [0003] For the processing of signal nonlinear distortion, the existing technologies mainly include non-constant envelope modulation and constant env...

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Application Information

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IPC IPC(8): H04L27/34H04L25/49H04B1/04H03F1/32
Inventor 陆晓峰
Owner ZTE CORP
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