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A generalized model based on canonical piecewise linear functions for digital predistortion

机译:基于规范分段线性函数的数字预失真广义模型

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A generalized model based on canonical piecewise linear functions is proposed for digital predistortion systems. Unlike conventional models using n parallel mapping from ℝ1 to ℂ1, the generalized model maps ℝn to ℂ1. Inheriting all the analytical and computational advantages that the CPWL functions have, it is a minimal formulation and only involves calculating inner products and absolute values. Furthermore, the model could be easily extended to multiple-band DPD systems or DPD systems with long term memory effects modeling. Our tests show even with less number of coefficients the CPWL-based DPD model achieves 2 ∼ 6 dB better linearization performance than the GMP model.
机译:针对数字预失真系统,提出了一种基于规范分段线性函数的广义模型。与使用从ℝ1到ℂ1的n个并行映射的常规模型不同,广义模型将ℝn映射到ℂ1。继承了CPWL函数具有的所有分析和计算优势,这是一个最小化的公式,仅涉及计算内部乘积和绝对值。此外,该模型可以轻松地扩展到多波段DPD系统或具有长期记忆效应建模的DPD系统。我们的测试表明,即使使用较少的系数,基于CPWL的DPD模型也可以比GMP模型获得2到6 dB的线性化性能。

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