有记忆功率放大器的辨识

Identification for High Power Amplifiers With Memory

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。

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.