Complexity‐aware‐normalised mean squared error ‘CAN’ metric for dimension estimation of memory polynomial‐based power amplifiers behavioural models

Hammi, Oualid; Miftah, Abderezak

doi:10.1049/iet-com.2015.0371

Cited by 4 publications

(1 citation statement)

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“…Setting the order and memory parameters is a task that is commonly executed by trial and error, increasing them up until a desired level of performance is reached. Some indicators that relate the modeling performance and complexity, such as the complexity-aware-NMSE (CAN) metric [28] and the NMSE tolerance per coefficient μ [12], have been defined to aid this process. Also, since the models are usually defined in a series form depending on parameters that set order and memory depth, the selection of independent coefficients leads to losing their original mathematical structure.…”

Section: Frameworkmentioning

confidence: 99%

Comparative Analysis of Greedy Pursuits for the Order Reduction of Wideband Digital Predistorters

Becerra

Madero‐Ayora

Crespo‐Cadenas

2019

IEEE Trans. Microwave Theory Techn.

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This paper provides a review of greedy pursuits for optimizing Volterra-based behavioral models structure and estimating its parameters. An experimental comparison of the digital predistortion (DPD) linearization performance achieved by these approaches for model-order reduction, such as compressive sampling matching pursuit (CoSaMP), subspace pursuit (SP), orthogonal matching pursuit (OMP), and the novel doubly OMP (DOMP), is presented. A benchmark of the techniques in the DPD of a commercial class AB power amplifier (PA) and a class J PA operating over a 15-MHz Long-Term Evolution (LTE) signal is presented, giving a clear overview of their pruning characteristics in terms of linearization indicators and regressor selection capabilities. In addition, the benchmark is run in a cross-validation scheme by identifying the DPD with a 30-MHz 5G-new radio (NR) signal and validating with the same signal and a 20-MHz multicarrier wideband code division multiple access (WCDMA) signal. The DOMP is shown to be a promising technique since it achieves an enhanced model-order reduction for a similar linearization performance and precision.

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Section: Frameworkmentioning

confidence: 99%