| 摘要: |
| 针对短波射频功放的非线性失真及记忆效应失真问题，提出了一种直接学习结构的MP模型预失真方案，采用Filtered-X LMS(NFXLMS)算法对建立的预失真模型进行训练辨识。仿真分析，针对MP模型高功率放大器，预失真后的三阶互调分量改善了52.2dB，五阶互调分量改善了48.85dB，与现有的IIR Wiener预失真器相比较，进一步提高了功放输出的线性度。同时，在DSP+FPGA平台上对MP模型预失真算法进行实测，结果表明，该预失真器能有效改善实际功放的非线性失真，具有较好的线性化效果。 |
| 关键词: 功率放大器 预失真 直接学习法 记忆多项式 行为模型 |
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| A Direct MP Model Pre-distortion Scheme Based On Memory Polynomial RF Power Amplifier |
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| Abstract: |
| For the problem of nonlinear distortion and memory effect distortion of shortwave radio frequency amplifier. In this paper, a new MP model pre-distortion scheme based on direct learning method is proposed, in which the scheme uses the Filtered-X LMS (NFxLMS) algorithm to train and identify the pre-distortion model. Simulating the model, the results show under the conditional of MP model high power amplifier, the design scheme can improve the third-order inter-modulation distortion by 52.2dB and the fifth-order inter-modulation distortion by 48.85dB.Compared with the existing IIR Wiener pre-distorter, MP model pre-distorter can greatly improve the linearity of the amplifier output. Meanwhile, doing the actual testing for MP model pre-distortion on the DSP+FPGA platform, the results show that the pre-distortion can effectively improve the actual power amplifier nonlinear distortion.It can bring better linear effects. |
| Key words: power amplifier pre-distortion direct learning memory polynomial behavioral models |