Abstract: An adaptive identification method was proposed to estimate for the characteristics of high power amplifiers (HPA) with memory in orthogonal frequency division multiplexing (OFDM) communication systems. The complex Wiener-Hammerstein model (WHM) was adopted to describe the input-output relationship of unknown HPA and a power series model with memory (PSMWM) was used to approximate the HPA expressed by WHM in base-band. Furthermore，the orders of PSMWM were chosen by Akaikes information criterion (AIC), and the RLS algorithm was used to estimate parameters of HPA in on-line manner. Finally，the effectiveness and fast convergence of the proposed identification method are validated by numerical simulation example.

Key words: High power amplifier , Wiener-Hammerstein model ,  Identification ,  OFDM

摘要： 为了估计正交频分复用(OFDM)通信系统里有记忆高功率放大器(HPA)的特性,给出一种在线辨识
方法。应用基带里的复数Wiener-Hammerstein模型(WHM)描述未知HPA 的输入输出关系,并用一个有记忆的
幂级数模型(PSMWM)去近似这个HPA,进而通过赤池情报量准则(AIC)来确定有记忆幂级数模型的阶数,应用递
推最小二乘法在线估计HPA特性的参数。并用数字仿真实例证明了所给出的辨识方法是有效的,并具有快速收敛
特性。

关键词: 高功率放大器 ,  Wiener-Hammerstein模型 ,  辨识 ,  正交频分复用