高明明,边廷玥,南敬昌,梁 琦.压缩感知在分段式双反馈预失真器的模型简化研究[J].电子测量与仪器学报,2022,36(2):211-218 |
压缩感知在分段式双反馈预失真器的模型简化研究 |
Research on model simplification of compressed sensing insegmented dual feedback predistorter |
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DOI: |
中文关键词: 数字预失真 压缩感知 稀疏度自适应匹配追踪 线性化 模型简化 |
英文关键词:digital predistortion ( DPD ) compressed sensing ( CS ) sparsity adaptive matching pursuit linearization model simplification |
基金项目:国家自然科学基金青年科学基金(61701211)、北京市科技计划项目(Z201100005820010)、辽宁工程技术大学横向课题(21 2067)项目资助 |
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中文摘要: |
针对预失真器中模型参数过多的问题,从压缩感知(compressed sensing,CS)的理论出发,提出了一种用于宽带射频功率
放大器(power amplifier,PA)的预失真器模型简化方法。 在稀疏度自适应匹配追踪(sparsity adaptive matching pursuit,SAMP)算
法的基础上进行改进,提出了基于频域陷波的相关支集选择 SAMP 算法(RSS-FNSAMP)。 该算法能够对 PA 行为模型进行简
化,而后将其运用在提出的分段式双反馈 DPD 系统中,以补偿被带内残差所掩盖的带外失真,在增强了系统稳定性的同时降低
了其复杂度,提升了 DPD 线性化效果。 为了验证该方法,使用 20 MHz LTE 信号驱动一个 35 dBm 的 F 类功率放大器。 实验结
果表明,归一化均方误差( normalized mean squared error,NMSE)与 ILA-SAMP、ILA-DOMP 和分段式双反馈-DOMP 相比提升了
3~ 5 dB,相邻信道功率比(adjacent channel power radio,ACPR)改善了 25 dBc,表明该方法能够在降低模型参数数目的同时,提
升功放的线性度。 |
英文摘要: |
To address the problem of too many model parameters in predistorters, this paper proposes a predistorter model simplification
method for broadband power amplifier (PA) based on the theory of compressed sensing (CS). On the basis of the sparsity adaptive
matching pursuit (SAMP) algorithm, the relevant support selection SAMP algorithm based on frequency domain notch (RSS-FNSAMP)
is proposed. The PA behavior model can be simplified and used in the proposed segmented dual-feedback DPD system, and the out-ofband distortion masked by the in-band residual can be compensated, which not only enhanced the stability of the system, but also
reduced its complexity and improved the linearization effect of DPD. To verify the method, a 35 dBm class F power amplifier is driven by
20 MHz LTE signal. The experimental results show that the normalized mean squared error (NMSE) is improved by 3~ 5 dB compared
with ILA-SAMP, ILA-DOMP and segmented dual feedback-DOMP, and the adjacent channel power ratio ( ACPR) is improved by
25 dBc, which shows that the proposed method can improve the linearity of power amplifier while reducing the number of model
parameters. |
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