Digital predistortion processing method

Abstract

The invention discloses a digital predistortion processing method which comprises the following steps: (1) a parallel processor controls an analog-to-digital converter (ADC) to grab power amplifier input signals z(n) and amplifier output signals y(n) continuously, and time alignment is executed; (2) the parallel processor calculates elements of an autocorrelation matrix Ryy of the amplifier output signals y(n), calculates elements of a cross-correlation matrix Ryz of the amplifier input signals z(n) and the amplifier output signals y(n), and transmits the elements Ryz of the Ryy to a serial processor; (3) the serial processor receives the elements Ryz of the Ryy, generates the Ryy first and obtains inversion of the autocorrelation matrix Ryy, and finally times the Ryz to calculate predistortion coefficient; and (4) the parallel processor receives the predistortion coefficient and conducts predistortion processing. By means of the digital predistortion processing method, a simplifying method of the parallel processor for calculating the elements of the autocorrelation matrix is provided, data length of predistortion coefficient calculation is increased, and a predistortion processing effect is improved.

Description

technical field [0001] The invention relates to a linearization processing method of a power amplifier, in particular to a digital predistortion processing method. Background technique [0002] With the development of wireless communication, the signal bandwidth is getting wider and wider, and its envelope fluctuation and peak-to-average ratio are getting bigger and bigger, which puts forward higher linearity requirements for broadband signaling channels, especially mixers and power amplifiers. This is mainly because semiconductor devices have inevitable nonlinear characteristics under large signals. When broadband transmitters work in the nonlinear region, serious intermodulation components will be generated, which can cause mutual interference between signals within the band. [0003] How to improve the linearity of the system is an important problem that the broadband system needs to solve. In order to solve the problem of linearity, three methods can be used: one is to s...

AI Technical Summary

Problems solved by technology

The biggest disadvantage of this implementation is that due to the limitation of the storage space of the parallel processing device and the transmission speed of the serial processing device, the calculation of the pre-distortion coefficient can only collect a small section of signal for the serial processing device to calculate the pre-distortion coefficient, while the pre-distortion coefficient of the parallel processing device The object of distortion processing is a data stream, so there is a problem that the signal for calculating the predistortion coefficient does not correspond to the signal processed by predistortion or the degree of correspondence is poor, which leads to the decline of the predistortion effect

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