scholarly journals A New Digital Predistortion Algorithms Scheme of Feedback FIR Cross-Term Memory Polynomial Model for Short-Wave Power Amplifier

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 38327-38332 ◽  
Author(s):  
Jijun Ren
Keyword(s):  
Power Amplifier ◽  
Short Wave ◽  
Polynomial Model ◽  
Wave Power ◽  
Digital Predistortion ◽  
Cross Term ◽  
Term Memory ◽  
Memory Polynomial

scholarly journals Characterization of RF Power Amplifier for Narrow and Wide Band Memory Polynomial Implementations

2021 ◽  
Vol 19 (1) ◽  
pp. 18-27
Keyword(s):  
Standard Deviation ◽  
Wireless Communication ◽  
Power Amplifier ◽  
Wide Band ◽  
Hammerstein Model ◽  
Rf Power ◽  
Cross Term ◽  
Term Memory ◽  
Rf Power Amplifier ◽  
Memory Polynomial

Linearly efficient RF power amplifiers have a tremendous role in wireless communication and radar systems as they lie at the front end of most RF systems. In today’s world of wireless communication, it is not an easy task to design a RF power amplifier that is linearly efficient. There are two main key challenges that one face for making RF power amplifier’s behavior linearly efficient. First is to characterize RF power amplifier’s coefficients smartly. Second is to propose an approach that works on input signal and make its behavior inverse to that of the designed amplifier behavior so that overall response of the system becomes linear. For countering first challenge, most advanced universally accepted algorithms like Memory Polynomial, Generalized Hammerstein, Cross-term Memory Polynomial and Cross-term Hammerstein are implemented to design RF power amplifier models. For countering second challenge, latest DPD algorithms are implemented which make net response of a system linear. The memory models for modelling RF power amplifier are categorized for narrowband and wideband applications. The narrowband power amplifier models include Memory Polynomial and Cross-term Memory Polynomial models whereas wideband power amplifier models include Generalized Hammerstein and Cross-term Hammerstein models. In this paper, various performance indicators like Standard Deviation (SD), Third Order Intercept (TOI), Intermodulation Distortion Products (IMD3), Modulation Error Ratio (MER), Spurious Free Dynamic Range (SFDR) and Error Vector Magnitude (EVM) are used to characterize RF power amplifier for both narrow and wide band applications. The simulation results show that under narrowband applications, Cross-term Memory Polynomial model works best as it has least standard deviation and is also satisfying other performance parameters up to appreciable level with and without DPD algorithm implementation. While for wideband applications, Cross-term Hammerstein model satisfies the performance measuring parameters excellently.

Research on Modeling Methods of Power Amplifier with Memory Effect in Broadband Communication

2014 ◽  
Vol 687-691 ◽  
pp. 4060-4063
Author(s):  
Lu Sun ◽  
Long Long Xue ◽  
Jia Li Wang ◽  
Chun Yang Zhou
Keyword(s):  
Memory Effect ◽  
Power Amplifier ◽  
Polynomial Model ◽  
Behavioral Modeling ◽  
Design System ◽  
Behavioral Models ◽  
Electric Characteristic ◽  
Memory Polynomial ◽  
With Memory ◽  
Frequency Power

Memory effect of power amplifier (PA) due to broadband signals which adopt new modulation technique is becoming obvious, and worsening the linearity of PA. Behavioral modeling for RF (Radio Frequency) power amplifier is indispensable to design digital pre-distortion system by which we can promote the efficiency of PA. According to the simulation data in the software of ADS (Advanced Design System), behavioral models of MRF21085 amplifier can be established by MATLAB. Comparison of memory polynomial model and ADS simulation of MRF21085 amplifier demonstrate memory polynomial model can represent the electric characteristic of it exactly.

A Novel PA Behavioral Modeling Using Memory Rational Function

2013 ◽  
Vol 336-338 ◽  
pp. 1602-1607
Author(s):  
Chun Xiao Jian ◽  
Hui Wang ◽  
Gao Sheng Li ◽  
Pei Guo Liu
Keyword(s):  
Rational Function ◽  
Power Amplifier ◽  
Mean Squared Error ◽  
Model Performance ◽  
Behavioral Model ◽  
Polynomial Model ◽  
Function Model ◽  
Nonlinear Characteristics ◽  
Proposed Model ◽  
Memory Polynomial

Aiming at the nonlinear characteristics and memory effects of power amplifier, a memory rational function behavioral model, which based on the memory polynomial model and memoryless rational function model, is proposed. The model coefficients are identified by conjugate gradient method. The estimation of the best model nonlinearity order and the best memory depth is carried out by minimized the normalized mean squared error (MNSE). The model is validated using multi-carrier WCDMA signal and a MRF6S21140H power amplifier by measurement. The result indicates that the proposed model can achieve better model performance with less number of coefficients compared to the memory polynomial model and memoryless rational function model

Radio over fiber (RoF) link modelling using cross term memory polynomial

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Manjit Singh ◽  
Amandeep Singh Sappal
Keyword(s):  
System Performance ◽  
Nonlinear Distortion ◽  
Radio Over Fiber ◽  
Intermodulation Distortion ◽  
System Complexity ◽  
Cross Term ◽  
Term Memory ◽  
Data Rates ◽  
System Components ◽  
Memory Polynomial

AbstractDue to increase in number of users and demand for higher data rates, the development of transmission systems which meets these requirements is of concern. Radio over Fiber (RoF) has emerged as such kind of technology which not only caters these requirements but also has the advantage of low system complexity, power consumption maintenance costs and low attenuation. But RoF systems suffer from nonlinear distortion caused by the presence of nonlinear system components. This nonlinear distortion results in intermodulation distortion and hence degrades system performance. For mitigating nonlinear distortion, a linearizer is required. A linearizer has inverse characteristics to that of RoF link. For design of the linearizer, accurate modelling of RoF link is required. So, in this paper, we have presented the modelling of a nonlinear RoF ink using cross term memory polynomial.

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