Xu Gao-Ming, Liu Tai-Jun, Ye Yan, Wen Hua-Feng, Li Jun. Broadband Radio Frequency Power Amplifier Modeling Basedon Generalized Augmented Hammerstein Models[J]. Journal of Electronics & Information Technology, 2014, 36(12): 3046-3050. doi: 10.3724/SP.J.1146.2014.00545
Citation:
Xu Gao-Ming, Liu Tai-Jun, Ye Yan, Wen Hua-Feng, Li Jun. Broadband Radio Frequency Power Amplifier Modeling Basedon Generalized Augmented Hammerstein Models[J]. Journal of Electronics & Information Technology, 2014, 36(12): 3046-3050. doi: 10.3724/SP.J.1146.2014.00545
Xu Gao-Ming, Liu Tai-Jun, Ye Yan, Wen Hua-Feng, Li Jun. Broadband Radio Frequency Power Amplifier Modeling Basedon Generalized Augmented Hammerstein Models[J]. Journal of Electronics & Information Technology, 2014, 36(12): 3046-3050. doi: 10.3724/SP.J.1146.2014.00545
Citation:
Xu Gao-Ming, Liu Tai-Jun, Ye Yan, Wen Hua-Feng, Li Jun. Broadband Radio Frequency Power Amplifier Modeling Basedon Generalized Augmented Hammerstein Models[J]. Journal of Electronics & Information Technology, 2014, 36(12): 3046-3050. doi: 10.3724/SP.J.1146.2014.00545
In order to improve the modeling accuracy of the AH model,this paper introduces some lagging envelope terms and leading envelope terms to the weak nonlinear module with memory in the AH model to simulate the lagging and the leading envelope effects of the broadband RFPA. In this way, a Generalized Augmented Hammerstein (GAH) model is proposed. This paper experimentally compares the modeling accuracy and model computational complexity of the GAH, AH, memory polynomial, fractional-order memory polynomial and generalized memory polynomial models. The experimental results illustrate that the GAH model can characterize the memory effects of the RFPA well with low computational complexity.