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A predistortion device for power amplifier and its parameter selection method

A parameter selection and pre-distortion technology, which is applied in the electronic field, can solve the problems of reduced precision of pre-distorter coefficients, reduced complexity of pre-distortion models, and poor fitting effects, so as to reduce the scale, reduce the difficulty of fitting, increase The effect of length

Active Publication Date: 2019-04-12
成都芯通软件有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] However, although the values ​​of K and Q are too large, it can better simulate the inverse model of the power amplifier, but when solving the predistorter coefficients of the inverse model of the power amplifier, the data matrix is ​​too large, and the accuracy of the predistorter coefficients is reduced. Problem; K and Q values ​​are too small, although the accuracy of solving the predistorter coefficients can be improved, but the reduced complexity of the predistortion model will lead to poor fitting results

Method used

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  • A predistortion device for power amplifier and its parameter selection method
  • A predistortion device for power amplifier and its parameter selection method
  • A predistortion device for power amplifier and its parameter selection method

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Embodiment 1

[0041] Such as figure 1 As shown, a predistortion device for a power amplifier disclosed in Embodiment 1 of the present invention includes:

[0042] The predistortion model operation processor is used to establish the predistortion model expression based on the memory polynomial; wherein, the order of each memory item in the memory polynomial is determined by a vector parameter in the first vector parameter group; and,

[0043] The predistorter is used to receive the input signal x(n), and obtain the output signal y(n) according to the predistortion model expression established by the predistortion model operation processor.

[0044] Since the order of each memory item in the memory polynomial is determined by a vector parameter corresponding to the memory item in a vector parameter group, it is no longer uniformly determined that the order of each memory item is the same and equal to the order of the memory polynomial number, so that the pre-distortion model can be more accu...

Embodiment 2

[0046] The traditional predistortion model expression based on memory polynomial order K and memory depth Q can be expressed as:

[0047] y(n)=∑(f 1 (x(n)), f 2 (x(n-1)),... f Q (x(n-Q+1)))

[0048] Among them, x(n) is the input signal, y(n) is the output signal, f n Characterizes a polynomial of order K. By introducing the first vector parameter set (k 0 , k 1 , k 2 , k 3 …kqn ), the order of each memory item in the memory polynomial is determined by a vector parameter corresponding to the memory item in the vector parameter group, f n The polynomial order of is defined separately according to the vector parameters in the first vector parameter group, that is, each polynomial is no longer unified as a K-order polynomial, but is defined by the vector parameter group (k 0 , k 1 , k 2 , k 3 …k qn ) controlled polynomial.

[0049] Therefore, the expression of the predistortion model based on the memory polynomial can be expressed as:

[0050]

[0051] Among them...

Embodiment 3

[0054] The memory effect of the power amplifier shows that the current output is not only a function of the current input, but also related to the past input, and its expression can be expressed as:

[0055] y(n)=f(x(n),x(n-1),...x(n-Q+1))

[0056] Increasing the memory depth Q value of the memory polynomial can improve the simulation of the degree of memory effect, and at the same time increase the size of the data matrix and reduce the solution accuracy. However, by introducing the parameter qdly, which is the step value of the polynomial memory depth, the length of the memory effect can be increased, but the scale of the data matrix will not be increased. Therefore, after introducing the parameter qdly, the above expression can be expressed as:

[0057] y(n)=f(x(n),x(n-1·qdly),...x(n-(Q+1)·qdly))

[0058] From this formula, it can be known that when the value of Q remains unchanged, the qdly doubles, and the coverage length of the memory effect also doubles, but the compl...

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Abstract

The invention discloses a predistortion device for a power amplifier and a parameter selection method thereof. According to the device and the method, the analog fitting degree of a power amplifier back inverse model is high, and the coefficient resolving precision of a predistorter is high. The device comprises a predistortion model operation processor which is used for establishing a predistortion model expression based on a memory polynomial, wherein the order of each memory item in the memory polynomial is determined by a vector parameter corresponding to the memory item in a first vector parameter group; and the predistorter which is used for receiving an input signal and obtaining an output signal according to the predistortion model expression.

Description

technical field [0001] The invention relates to the field of electronic technology, in particular to a predistortion device for power amplifiers and a parameter selection method thereof. Background technique [0002] The power amplifier, that is, the power amplifier, is an important part of the communication system, and it is also one of the main nonlinear devices. The non-linear characteristics of the power amplifier make the out-of-band spectrum expansion of the transmission signal cause adjacent channel interference, and the in-band amplitude and phase are distorted, resulting in an increase in the bit error rate. In order to overcome the nonlinear characteristics of the power amplifier, a fallback method can be adopted to make the working point of the power amplifier fall back, and only work in the linear region. But the efficiency of such a power amplifier is very low. For example, in the field of wireless communication systems and radio and television communications,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H03F1/32H04L25/49
CPCH03F1/3258H04L25/49
Inventor 赵晓迪周祺睿
Owner 成都芯通软件有限公司
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