Method for lowering self-adaptive digital pre-distortion algorithm computation complexity

A technology of digital predistortion and computational complexity, applied in the field of wireless communication, can solve the problems of fast convergence, low computational complexity, and small amount of offset

Inactive Publication Date: 2014-11-26
SHANGHAI RES CENT FOR WIRELESS COMM +1
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Problems solved by technology

Therefore, none of the above three algorithms can simultaneously have the performance of fast convergence, low computational complexity, and small amount of misalignment

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  • Method for lowering self-adaptive digital pre-distortion algorithm computation complexity
  • Method for lowering self-adaptive digital pre-distortion algorithm computation complexity
  • Method for lowering self-adaptive digital pre-distortion algorithm computation complexity

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[0034] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0035] The method for reducing the computational complexity of the adaptive digital predistortion algorithm of the present invention at least includes establishing a nonlinear model, normalizing and orthogonalizing the autocorrelation matrix expectation obtained by using the original polynomial basis function, and reducing the computational complexity of the recursive least squares algorithm and other steps.

[0036]Specifically, the ...

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Abstract

The invention provides a method for lowering self-adaptive digital pre-distortion algorithm computation complexity. Aimed at the condition that an original polynomial primary function is high in autocorrelation matrix condition number, a non-linear model of a polynomial pre-distortion model is established. By subjecting expectation of an autocorrelation matrix obtained by the original polynomial primary function to normalizing orthogonalizing operation, a normalized orthogonalized primary function can be obtained, and therefore a recursive least squares algorithm can be simplified in computation complexity. According to the method for lowering self-adaptive digital pre-distortion algorithm computation complexity in the utility model, under the precondition that high convergence speed and small imbalance amount can be ensured, the computation complexity of a traditional recursive least squares algorithm is lowered to be the complexity of a minimum mean squared error algorithm.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a method for reducing the computational complexity of an adaptive digital predistortion algorithm. Background technique [0002] In a wireless communication system, a Radio Frequency Power Amplifier (RF PA) is the most important non-linear device among all radio frequency devices. This nonlinearity varies with external factors such as ambient temperature, time, and the power of the input signal. The research results show that nonlinearity can bring in-band spectral distortion and out-of-band spectral growth. The former leads to the deterioration of the error vector (Error Vector Magnitude, EVM) of the transmitted signal, and the latter causes adjacent channel interference (Adjacent Channel Interference, ACI) , resulting in a decrease in the performance of the communication system. [0003] Adaptive digital predistortion technology is a commonly used technology to...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/49
Inventor 姚赛杰钱骅黄浩
Owner SHANGHAI RES CENT FOR WIRELESS COMM
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