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2D-DPD iteration reduction algorithm and application based on unit primary function

A basis function and iterative technology, applied in the 2D-DPD iterative reduction algorithm and application field based on the unit basis function, can solve the problem of increasing the burden of model extraction, reduce the number of basis functions, reduce system delay, and improve stability. Effect

Active Publication Date: 2013-11-27
TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

The disadvantages of 2D-MMP include: the process of adaptively selecting the coupling factor increases the burden of model extraction; the base of the model is not a simple product form, so the model itself is no longer a simple Volterra series form; the number of bases in the final model Still too high for online implementation

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  • 2D-DPD iteration reduction algorithm and application based on unit primary function
  • 2D-DPD iteration reduction algorithm and application based on unit primary function
  • 2D-DPD iteration reduction algorithm and application based on unit primary function

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Embodiment Construction

[0030] The implementation of the present invention will be described in detail below in conjunction with the drawings and examples.

[0031] Such as figure 1 As shown, a 2D-DPD iterative reduction algorithm based on unit basis function includes the following steps:

[0032] First, initialize and select all basis functions in 2D-DPD;

[0033] Then, use the unit basis function to model and calculate the model error;

[0034] If the model error is greater than the preset value or the number of basis functions is less than the preset value, the cached model and basis functions are loaded, and the algorithm ends;

[0035] Otherwise, the model and the selected basis function will be cached, the basis function with the smallest modulus corresponding to the coefficient will be cut, and the model error will be calculated again until the model complexity meets the requirements

[0036] Among them, the unit basis function is obtained by normalizing the basis function of 2D-DPD accordi...

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Abstract

The invention relates to a 2D-DPD iteration reduction algorithm and application based on a unit primary function and belongs to the technical field of linearization of a radio frequency transmitter in wireless communication. Base band data obtained by practically measuring inputting and outputting of the transmitter are used for performing the algorithm. Firstly, normalization is performed on the 2D-DPD primary function to obtain the unit primary function. Iteration modeling is performed based on the unit primary function and items which affect the system little are removed. If the algorithm is operated in an off-line mode and a proper primary function is selected in the production process of the transmitter, complexity of a system can be lowered and hardware resource consumption is lowered. If the algorithm is operated in the embedded system modeling process, the selected primary functions can be compressed to the minimal and therefore, stability of a model is improved and system delay is shortened. By means of the 2D-DPD iteration reduction algorithm, a base of the 2D-DPD model can be selected in a self-adaption mode and therefore, the complexity of the 2D-DPD model is reduced.

Description

technical field [0001] The invention relates to a 2D-DPD iterative reduction algorithm based on a unit basis function and its application. Background technique [0002] In a wireless communication system, the linearity of a transmitter is an important indicator for evaluating the performance of a transmitter. Among all the technologies used to improve the linearity of the transmitter, digital predistortion (DPD, Digital Predistortion) is currently the most concerned and most used technology. Digital predistortion technology measures the transmitter at the digital baseband, and establishes the behavior-level reverse model of the transmitter as a predistorter, thereby pre-correcting the input signal to offset the nonlinearity of the transmitter, and then obtain the overall high linearity. Among them, the high-precision inverse model is the key to the effectiveness of the entire digital pre-distortion technology. Currently, there are many behavior-level models that can model ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/49H04L25/02
Inventor 张巳龙陈文华冯正和
Owner TSINGHUA UNIV