Mixed double-frequency digital pre-distortion model method based on DDR

A digital pre-distortion and model technology, applied in the direction of electrical digital data processing, complex mathematical operations, special data processing applications, etc., can solve problems such as limited linearization performance, high computational complexity, and deterioration of modeling accuracy

Inactive Publication Date: 2018-04-10
CHONGQING VOCATIONAL INST OF ENG
View PDF2 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to reduce the model complexity of 2D-MP, the modified 20-Modified Memory Polynomial model (20-Modified Memory Polynomial, 2D-MMP) has a more compact form and has a model complexity comparable to MP. However, 2D-MMP is about the The envelope coupling factor is nonlinear, and the identification of the envelope coupling factor has a high computational complexity
A simplified two-dimensional memory polynomial model (Simplified 2D-Memory Polynomial, DDR), DDR is easy to use one-dimensional LUT to implement, but because a large number of intermodulation cross terms are ignored in the model, the modeling accuracy deteriorates and the linearization performance is limited

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Mixed double-frequency digital pre-distortion model method based on DDR
  • Mixed double-frequency digital pre-distortion model method based on DDR
  • Mixed double-frequency digital pre-distortion model method based on DDR

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Embodiments of the invention are described in detail below, examples of which are illustrated in the accompanying drawings. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0033] The invention discloses a DDR-based hybrid dual-frequency digital pre-distortion model method, such as figure 1 As shown, at first based on the concurrent dual-frequency DPD system of indirect learning, it comprises the following steps:

[0034] S1: Establish a one-dimensional LUT implementation of 2D-MP;

[0035] S2: Establish a one-dimensional LUT implementation of 2D-MMP;

[0036] S3: Establish an efficient concurrent dual-frequency DPD implementation scheme for one-dimensional LUT;

[0037] S4: The establishment process of the DDR model includes the following steps:

[0038] a: Introduce a dynamic deviation function and separate dynamic nonlinearity and st...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a mixed double-frequency digital pre-distortion model method based on the DDR. The method includes the following steps that a concurrent double-frequency DPD system based on indirect learning is built; an operation sequence is optimized, a one-dimensional LUT achievement model of the 2D-MP is obtained, a one-dimensional LUT achievement model of 2D-MMP is derived, and then aone-dimensional LUT high-frequency concurrent double-frequency DPD achievement scheme and a model are provided; a dynamic deviation function is substituted into a one-order model of the DDR, and a discrete equivalent baseband expression of the one-order DDR model is obtained and extended to be in a synchronic double-frequency mode; a two-dimensional memory polynomial model same-order envelope cross term is introduced, and a new model and a one-dimensional LUT achievement method of the model in an FPGA are obtained. According to the method, the modeling accuracy and the linearization performance better than a simplified two-dimensional memory polynomial model and a traditional DDR model can be obtained; meanwhile, the advantage that achievement can be conveniently conducted through a one-dimensional lookup table is kept, the new model has a good level in the aspects of performance and complexity, and the method is suitable for practical system applying.

Description

technical field [0001] The invention relates to the field of digital pre-distortion of communication, in particular to a DDR-based hybrid dual-frequency digital pre-distortion model method. Background technique [0002] With the rapid evolution of mobile communication, modern wireless communication base stations should simultaneously support multiple standard communication systems to meet the diverse needs of users. The multi-frequency transmitter architecture has the advantages of low cost, small size, and high efficiency, and is the most promising multi-standard transmitter architecture. The multi-frequency power amplifier (PA) is a key module in the multi-frequency transmitter. In recent years, the efficiency enhancement and linearization methods for the multi-frequency PA have attracted extensive attention from scholars at home and abroad, especially the concurrent dual-frequency working mode. [0003] Under the simultaneous excitation of dual-frequency signals, the PA ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06F17/11
CPCG06F17/11G06F30/367
Inventor 熊于菽冉晟伊张馨月
Owner CHONGQING VOCATIONAL INST OF ENG
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products