A new look-up table based behavioral model for dynamic nonlinear power amplifiers is proposed. This model labelled as hybrid look-up tables model is based on the combination of a memoryless look-up table sub-model and a nested look-up tables one. It is demonstrated that the proposed model circumvents the computational complexity associated with the parameters identification in analytically defined behavioral models. Moreover, the proposed model reduces the size of the standalone nested look-up tables model by approximately 80% while maintaining its accuracy. Furthermore, a novel slew-rate based trimming and indexing technique to reduce the nested look-up tables model size is developed and corroborated experimentally. Additionally, the two-box structure of the hybrid look-up tables model makes it suitable for bandwidth scalability. Experimental validation using LTE-advanced test signals with up to 120MHz bandwidth demonstrates the ability of the proposed hybrid look-up tables model to be bandwidth scalable with less than 0.5dB degradation in the normalized mean-squared error.

中文翻译：

---

基于混合查找表的动态非线性功率放大器行为模型

提出了一种新的基于查找表的动态非线性功率放大器行为模型。这种标记为混合查找表模型的模型基于无记忆查找表子模型和嵌套查找表子模型的组合。结果表明，所提出的模型规避了与分析定义的行为模型中的参数识别相关的计算复杂性。此外，所提出的模型将独立嵌套查找表模型的大小减少了大约 80%，同时保持其准确性。此外，开发了一种新的基于转换率的修整和索引技术，以减少嵌套查找表模型的大小，并通过实验得到证实。此外，混合查找表模型的两盒结构使其适用于带宽可扩展性。