论文部分内容阅读
提出了一种基于查表的开环记忆多项式模型(MPM,Memory Polynomial Model)预失真器.从MPM预失真器系数估计和执行信号预失真处理两方面加以考虑.首先,利用预失真器和高功率放大器(HPA,High Power Amplifier)传输特性的互补性,由采集到的HPA输入、输出基带数据进行单次最小二乘估计得到MPM预失真器的系数,避免了以往递归结构的收敛性和计算量大等问题.然后,利用MPM预失真器的特点,建立了基于输入信号强度索引的一维向量表,通过查表实现MPM预失真器的幂次累加项,极大地减少了实现预失真器所需的计算量及硬件开销.仿真显示,采用提出的预失真器可以有效补偿HPA对信号的记忆非线性失真,有效带宽内获得了近20 dB的功率改善,也显著改善了系统误码性能.
This paper proposes a look-up-based pre-distorter based on open-loop memory polynomial model (MPM), which takes into account both the estimation of pre-distorter coefficients of MPM and the predistortion processing of signal.Firstly, (HPA, High Power Amplifier) transmission characteristics of complementarity, from the HPA input and output baseband data obtained by a single least squares estimation MPM predistorter coefficients to avoid the convergence of the previous recursive structure and calculation And so on.And then, based on the characteristics of the MPM predistorter, a one-dimensional vector table based on the input signal strength index is established, and the power-sum term of the MPM predistorter is realized through the look-up table, which greatly reduces the cost of implementing the predistorter The required computation and hardware overhead.The simulation shows that using the proposed predistorter can effectively compensate for the non-linear memory distortion of HPA signal, the power gain of nearly 20 dB within the effective bandwidth, but also significantly improve the system error performance .