Dynamic Behavioral Modeling of Power Amplifiers Using ANFIS-Based Hammerstein |
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Authors: | Jianfeng Zhai Jianyi Zhou Lei Zhang Jianing Zhao Wei Hong |
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Affiliation: | Dept. of Radio Eng., Southeast Univ., Nanjing; |
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Abstract: | This letter presents a novel structure for the dynamic behavioral modeling of radio frequency power amplifiers (RF PAs) with ANFIS-based Hammerstein model for memory effects. The model is an adaptive neuro-fuzzy inference system (ANFIS) followed by a finite impulse response (FIR) filter. A hybrid learning algorithm is adopted to identify the parameters of the ANFIS. The parameters of the FIR filter are estimated by a straightforward least-squares method. The input and output signals of the PA excited with a three-carrier WCDMA signal were sampled for the model identification and validation in a test bench. Experimental results in the frequency and the time domains show that the proposed model was able to give an accurate approximation to characterize the wideband RF PAs. |
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