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移动终端动态供电功率放大器的不可知包络线性化。

Agnostic Envelope Linearization of Dynamically Supplied Power Amplifiers for Mobile Terminals.

机构信息

Department of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC), Barcelona Tech., 08034 Barcelona, Spain.

出版信息

Sensors (Basel). 2022 May 16;22(10):3773. doi: 10.3390/s22103773.

Abstract

This paper presents an envelope linearization technique to compensate for the nonlinear distortion of envelope tracking (ET) power amplifiers (PAs) for 5G new radio (NR) mobile terminals. The proposed envelope optimization (EOPT) method is agnostic of the nonlinear distortion generated in the envelope supply path and can compensate for the nonlinear distortion at the ET PA output without the need to monitor the output at the envelope tracking modulator (ETM). The linearization system in the envelope path is based on the envelope generalized memory polynomial (EGMP) behavioral model. Since the ETM output is not available, an iterative nonlinear least squares solution inspired in the deep deterministic policy gradient (DDPG) algorithm is proposed to extract the coefficients of the EGMP model. The EOPT method is validated on a system-on-chip (SoC) ET PA board designed for mobile terminal applications. Experimental results show the suitability of the proposed method to guarantee the linearity requirements (i.e., adjacent channel power ratio below -36 dBc) with 16.8% of power efficiency when operating the ET PA with 5G new radio test signals of 60 MHz bandwidth operating at 2.55 GHz (band 7). The linearization performance of the proposed EOPT method is comparable to the envelope leakage cancellation (ELC) approach (but saving the need for an analog to digital converter to monitor the ETM output), and can outperform a conventional I-Q digital predistorter based on the generalized memory polynomial (GMP) behavioral model.

摘要

本文提出了一种包络线性化技术,用于补偿 5G 新无线电 (NR) 移动终端中包络跟踪 (ET) 功率放大器 (PA) 的非线性失真。所提出的包络优化 (EOPT) 方法对包络供电路径中产生的非线性失真不敏感,并且可以补偿 ET PA 输出处的非线性失真,而无需监测包络跟踪调制器 (ETM) 的输出。包络路径中的线性化系统基于包络广义记忆多项式 (EGMP) 行为模型。由于无法获得 ETM 输出,因此提出了一种基于深度确定性策略梯度 (DDPG) 算法的迭代非线性最小二乘解决方案,以提取 EGMP 模型的系数。在为移动终端应用设计的片上系统 (SoC) ET PA 板上验证了 EOPT 方法。实验结果表明,该方法适用于保证线性度要求(即,相邻信道功率比低于-36dBc),当以 2.55GHz(第 7 频段)的 60MHz 带宽的 5G NR 测试信号操作 ET PA 时,效率为 16.8%。所提出的 EOPT 方法的线性化性能可与包络泄漏消除 (ELC) 方法相媲美(但无需模数转换器来监测 ETM 输出),并且可以胜过基于广义记忆多项式 (GMP) 行为模型的常规 I-Q 数字预失真器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9de6/9145709/6182d492d862/sensors-22-03773-g001.jpg

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