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Polynomial power amplifier modeling and digital pre-distorting method based on segmented memory

A technology for power amplifiers and memory polynomials, which is applied to power amplifiers, improved amplifiers to reduce nonlinear distortion, and amplifiers. The effect of improving linearity

Active Publication Date: 2015-07-22
NANJING UNIV OF SCI & TECH
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Therefore, if a memory polynomial is used alone, the order of nonlinearity required will be particularly high, and high-order nonlinearities will degrade system performance

Method used

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  • Polynomial power amplifier modeling and digital pre-distorting method based on segmented memory
  • Polynomial power amplifier modeling and digital pre-distorting method based on segmented memory
  • Polynomial power amplifier modeling and digital pre-distorting method based on segmented memory

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Embodiment 1

[0057] The power amplifier of the present embodiment: the signal bandwidth is 100MHz, the LTE-Advanced signal of five carriers modulated by QPSK, the sampling frequency is 400MHz, the peak-to-average ratio is 7dB, the average output power is 38dBm, and the AR power amplifier and signal working at 3.45GHz It is an envelope tracking power amplifier with a bandwidth of 5MHz, an oversampled 40MHz original input signal, a peak-to-average ratio of 6dBm, and an operating frequency of 2.55GHz.

[0058] like image 3 As shown, the model is based on the AR power amplifier; the abscissa in the figure is the frequency, and the ordinate is the corresponding power spectral density. The dotted line is the power spectral density of the original output signal output signal, and the dotted line is the established one. The power spectral density of the output signal mp after memorizing the polynomial model, the solid line is the power spectral density of the output signal pmp after the segmental...

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Abstract

The invention discloses a polynomial power amplifier modeling and digital pre-distorting method based on a segmented memory. By means of a vector threshold decomposition technique, the modeling method comprises the steps that an original input signal of a power amplifier is disassembled to be a plurality of sub-signals, memory polynomial expansion is conducted on the sub-signals, and expansion results are merged to serve as a final output signal of the power amplifier; the digital pre-distorting method comprises the steps that a digital predistortor is constructed based on the modeling, and linear processing is conducted on the power amplifier. By means of the modeling method, non-linear characteristics of the wideband radio frequency power amplifier can be described accurately, and the degree of linearity of the wideband radio frequency power amplifier is effectively improved by means of the corresponding digital pre-distorting method.

Description

technical field [0001] The invention belongs to the technical field of linearization of power amplifiers, in particular to a power amplifier modeling and digital predistortion method based on segmented memory polynomials. Background technique [0002] With the rapid development of wireless communication technology, the communication frequency band is becoming more and more crowded. In order to transmit as much information as possible in a limited frequency band, modern communication systems generally use non-constant envelope signals with high spectrum efficiency, which leads to increased back-off of power amplifiers and limited efficiency. [0003] Because the envelope tracking power amplifier has the characteristic of improving its own power efficiency, the linearity of its output signal is worse than that of the general fixed bias power amplifier, and linearization technology is needed to compensate it linearly, but because of the envelope tracking Due to the particulari...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03F1/32H03F3/20
CPCH03F1/3241H03F3/213H03F2201/3227
Inventor 王晶琦蒋志芳吴青青吴文
Owner NANJING UNIV OF SCI & TECH
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