Signal predistortion treatment method and device

Abstract

The invention provides a signal predistortion treatment method and a device; the method includes that: a feedback signal is used to update predistortion parameters; the updated predistortion parameters are adopted for performing predistortion treatment on the original signal. The invention also provides a device for realizing signal predistortion treatment. When the method and device are adopted,the matrix composed of a modified feedback signal and an intermediate-frequency signal is performed with QRE-RLS based operation to determine the predistortion parameters, the intermediate-frequency signal power is utilized to store the predistortion parameters in a parameter lookup table to finish the updating of predistortion parameters, and then the predistortion parameters are retrieved and extracted to perform predistortion treatment on the original signal so that the complexity of DPD self-adaptive filtering treatment is reduced, large quantity of data are avoided from storing and the storage space is saved, and the DPD self-adaptive filtering effect is accordingly improved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a method and device for realizing signal pre-distortion processing. Background technique [0002] At present, with the large-scale construction of global 3G networks, operators are paying more and more attention to reducing construction costs and maintenance costs, and power amplifiers, as one of the most expensive devices in communication systems, have higher and higher requirements for efficiency. This makes the digital pre-distortion DPD (Digital Pre-Distortion) technology develop rapidly. Among them, the power amplifier is closely related to the filter: when the output of the filter is a linear function of the input, the filter is a linear filter, otherwise it is a nonlinear filter. If the parameters change with time, it is also called a time-sensitive filter. According to the characteristics of the RF power amplifier (PA), when the statistical characteristics...

AI Technical Summary

Problems solved by technology

[0003] When performing pre-distortion processing, the characteristics of the selected algorithm must first be clarified; the minimum mean square error (MMSE) linear filter when the input process is stationary is called a Wiener filter, and the Wiener filter satisfies the normal equation, its The signal obtained by directly inverting the matrix is ​​the predistortion parameter; however, this method requires a large amount of calculation and stores more information; and because it simply adjusts the gain of the signal fed back by the power amplifier, and then Entering the DPD adaptive filtering process without modifying the feedback signal, which will greatly affect the effect of the DPD adaptive filtering

Images