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为了在不增加查找表(LUT)长度的前提下,进一步改善功率放大器非线性性能,提出1种自适应最优量化LUT的预失真算法.与已有的最优量化LUT算法不同,该算法综合考虑了预失真器特性和输入信号概率分布,理论分析并得到了最优的LUT量化间隔,并给出了全盲条件下的自适应预失真器LUT参数搜索算法.仿真表明:应用该算法的预失真系统的归一化最小均方误差指标优于均匀量化LUT算法和已有的最优量化LUT算法,尤其是在输入信号功率回退较大的情况下,该算法的预失真效果改善更为显著.
In order to further improve the nonlinear performance of the power amplifier without increasing the length of the look-up table (LUT), a pre-distortion algorithm is proposed to adaptively optimize the quantized LUT. Unlike the existing optimal quantized LUT algorithm, Considering the characteristics of pre-distorter and the probability distribution of input signal, the optimal LUT quantization interval is obtained theoretically and the LUT parameter search algorithm of adaptive predistorter is given under full blind condition. The simulation results show that, The normalized minimum mean square error index of the distorted system outperforms the uniform quantized LUT algorithm and the existing optimal quantized LUT algorithm. Especially in the case of larger input power backoff, the predistortion effect of the algorithm is more improved Significant.