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Predistortion device for power amplifier and parameter selection method thereof

A predistortion and parameter group technology, applied in the field of electronics, can solve the problems of reduced predistorter coefficient solution accuracy, reduced predistortion model complexity, poor fitting effect, etc., to reduce scale, reduce fitting difficulty, increase effect of length

Active Publication Date: 2017-02-15
成都芯通软件有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

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

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  • Predistortion device for power amplifier and parameter selection method thereof
  • Predistortion device for power amplifier and parameter selection method thereof
  • Predistortion device for power amplifier and parameter selection method thereof

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Embodiment 1

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

[0042] A predistortion model arithmetic processor 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 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 calculation 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 Therefore, the pre-distortion model can be more accurately close t...

Embodiment 2

[0046] The traditional predistortion model expression based on the order K of the memory polynomial and the 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 Characterize a polynomial of order K. By introducing the first vector parameter group (k 0 , K 1 , K 2 , K 3 …K qn ), 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 into the K-order polynomial, but by the vector parameter group (k 0 , K 1 , K 2 , K 3 …K qn ) Controlled polynomial.

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

[0050]

[0051] Among them, A is the predistortion ...

Embodiment 3

[0054] The memory effect of power amplifiers is that the current output is not only a function of the current input, but also related to the past input. The 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 scale of the data matrix and reduce the accuracy of the solution. However, by introducing the parameter qdly, the step value of the memory depth of the polynomial, the length of the memory effect can be increased, but the size of the data matrix will not be increased. Therefore, the above expression can be expressed as follows after introducing the parameter qdly:

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

[0058] It can be seen from this formula that if the value of Q remains unchanged, qdly doubles, and the memory effect coverage length also doubles, while the complexity of the model s...

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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 present invention relates to the field of electronic technology, and in particular to a predistortion device for power amplifier and a parameter selection method thereof. Background technique [0002] The power amplifier, namely the power amplifier, is an important part of the communication system, and it is also one of the main non-linear devices. The non-linear characteristics of the power amplifier make the out-of-band spectrum of the transmission signal cause adjacent channel interference, and the in-band amplitude and phase are both distorted and the bit error rate increases. In order to overcome the non-linear 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 this power amplifier is very low. For example, in the field of wireless communication systems and radio and television communications, in order to incr...

Claims

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Application Information

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Patent Type & Authority Applications(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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