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Memory polynomial with binomial reduction in digital pre-distortion for wireless communication systems


Choo, Hong Ning and Abdul Latiff, Nurul Adilah and Varahram, Pooria and Mohd Ali, Borhanuddin (2017) Memory polynomial with binomial reduction in digital pre-distortion for wireless communication systems. Pertanika Journal of Science & Technology, 25 (spec. Jan.). pp. 49-58. ISSN 0128-7680; ESSN: 2231-8526


One of the biggest power consuming devices in wireless communications system is the Power Amplifier (PA) which amplifies signals non-linearly when operating in real-world systems. The negative effects of PA non-linearity are energy inefficiency, amplitude and phase distortion. The increases in transmission speed in present day communication technology introduces Memory Effects, where signal spreading happens at the PA output, thus causing overhead in signal processing at the receiver side. PA Linearization is therefore required to counter the non-linearity and Memory Effects. Digital Pre-distortion (DPD) is one of the outstanding PA Linearization methods in terms of its strengths in implementation simplicity, bandwidth, efficiency, flexibility and cost. DPD pre-distorts the input signal, using an inversed model function of the PA. Modelling of the PA is therefore vital in DPD, where the Memory Polynomial Method (MP) is used to model the PA with memory effects. In this paper, the MP method is improved in Memory Polynomial using Binomial Reduction method (MPB-imag-2k). The method is simulated using a modelled ZVE-8G Power Amplifier and sampled 4G (LTE) signals. It was found MPB-imag-2k is capable of achieving comparable anti-scattering/anti-distortion in MP for non-linearity order of 3, memory depth of 3 and pre-amplifier gain of 2.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Universiti Putra Malaysia Press
Keywords: Power amplifier; PA linearization; Digital pre-distortion; 4G; Memory polynomial
Depositing User: Nabilah Mustapa
Date Deposited: 30 Jun 2017 09:47
Last Modified: 05 Jul 2017 04:02
URI: http://psasir.upm.edu.my/id/eprint/55844
Statistic Details: View Download Statistic

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