一种基于LS/SVD的基带预失真算法

自适应基带预失真技术是用于补偿高功率放大器非线性失真的一种有效技术。早期对预失真的研究大多局限于无记忆非线性,但对于OFDM等宽带应用,放大器的记忆效应明显。介绍了一种基于最小二乘奇异值分解(LS/SVD)的自适应算法来实现有记忆非线性功放的自适应基带预失真。仿真结果表明,该方案用于正交频分复用(OFDM)系统中能有效抑制带外频谱扩散,减小带内失真,实现有记忆非线性功率放大器的自适应预失真。

A Baseband Predistortion Algorithm Based on LS/SVD

Adaptive baseband predistortion is an effective technique for compensating nonlinear distortion introduced by high power amplifiers.The early work on the field of predistortion is mostly limited to memoryless nonlinearity.However,memory effects are typically observed in high power amplifiers for wideband applications such as OFDM.This paper proposes an adaptive baseband predistortion algorithm based on least square and singular value decomposition(LS/SVD) to compensate for the nonlinear distortion of the HPA with memory effects.Simulation results show that the proposed adaptive predistorter can effectively suppress spectral regrowth and reduce in-band distortion for HPA with memory.