The Threshold Optimization of the Canonical Piecewise Linear Function-Based Model With a Modified Quadratic SPSA

The Threshold Optimization of the Canonical Piecewise Linear Function-Based Model With a Modified Quadratic SPSA
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基于修正二次SPSA的规范分段线性函数模型的阈值优化

DOI:
10.1109/lmwc.2021.3068383
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发表时间:
2021-06
影响因子:
3
通讯作者:
Yu Chao
Yu Chao
中科院分区:
工程技术2区
文献类型:
--
作者:
Zhai Jianfeng;Xu Zhuang;Zhang Qiang;Zhang Lei;Yu Zhiqiang;Zhou Jianyi;Yu Chao

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基于规范分段线性(CPWL)函数的模型已被提出用于功率放大器(PA)的行为建模,因为它能实现较高的建模精度且复杂度较低。在CPWL中,阈值预先选定为不同的常数。
The canonical piecewise linear (CPWL) function-based model has been proposed for behavioral modeling of power amplifiers (PAs) because it can provide good modeling accuracy and low complexity. In the CPWL, thresholds are preselected as different constants, which are usually based on experience. The letter focuses on the threshold optimization of the CPWL, and a modified quadratic simultaneous perturbation stochastic approximation (SPSA) algorithm is employed to estimate the coefficients and optimize thresholds of the CPWL-based model. This method is more suitable for hardware implementation than the conventional least square (LS) by coefficient iterations rather than matrix inversion operations. Experimental results show that, compared with the LS, the proposed approach achieves comparable modeling and digital predistortion (DPD) performance of the CPWL-based model with fewer thresholds and coefficients after threshold optimization when a wideband PA is excited by a Long-Term Evolution (LTE)-Advanced signal of 100-MHz bandwidth.
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