Digital pre-distortion processing method and device for power amplifier

Abstract

The invention relates to a digital pre-distortion processing method and device for a power amplifier. The digital pre-distortion processing device for the power amplifier comprises a pre-distortion module, a forward direction data collection module, a feedback data collection module, a microprocessor module and a control module. According to the digital pre-distortion processing method for the power amplifier, forward direction data entering the pre-distortion module and feedback data amplified by the power amplifier and fed back through a same data source channel after a peak subsides are collected; parameters of a memory polynomial in the pre-distortion module are computed in the RLS method based on the QR factorization; after coefficient computation is finished, the results are updated into the parameters of the memory polynomial in the pre-distortion module in a parallel mode; signals processed by a peak-subsiding module enter the pre-distortion module, memory polynomial computation is conducted, and pre-distortion processing of eliminating nonlinear effect of the power amplifier is conducted; circulating collection and iterative computations enable digital pre-distortion processing to be in a restrain state. Timeliness of a system is improved and resource consumption of the whole system is reduced on the whole, abnormal condition can be processed, and system stability is improved.

Description

technical field [0001] The invention relates to a data processing method and device in the communication field, in particular to a method and a device for realizing high-efficiency digital pre-distortion processing, and the invention belongs to the communication field. Background technique [0002] A power amplifier (PA) is a key component in a communication system that affects system performance, and nonlinearity is an inherent characteristic of a power amplifier. The nonlinearity of the PA will bring problems such as the increase of the bit error rate to the system. In order to reduce the impact of nonlinearity on system performance, generally make the PA work under a lower input working condition (or called fallback), that is, take the linear part of the PA working curve as the working range. However, for the current new transmission systems, such as Wideband Code Division Multiplexing (WCDMA), Orthogonal Frequency Division Multiplexing (OFDM), and Long Term Evolution (L...

AI Technical Summary

Problems solved by technology

The adaptive algorithm needs to process a large amount of data and perform multiple iterations, which makes the algorithm computationally intensive and time-consuming, the coefficients of the predistorter are updated slowly, the real-time performance is not high, and the ability to adapt to rapidly changing signals is not good. , it is difficult to achieve the best correction effect

[0010] 2. Due to the processing of a large number of source signals and feedback signals, the adaptive algorithm is very complicated and requires a large storage capacity, which makes the entire system have high requirements for hardware, and some systems even require an additional DSP processor to run the algorithm, increasing the system cost, power consumption and implementation difficulty

[0011] 3. For the processing of some abnormal situations that occur during the operation of digital pre-distortion processing, there are few recovery mechanisms, and the stability and robustness of the system are not high

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