An enhanced digital predistortion algorithm based on polynomial model identification

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

15 صفحه اول

DAMAGE IDENTIFICATION OF TRUSSES BY FINITE ELEMENT MODEL UPDATING USING AN ENHANCED LEVENBERG-MARQUARDT ALGORITHM

This paper presents an efficient method for updating the structural finite element model. Model updating is performed through minimizing the difference of recorded acceleration of real damaged structure and hypothetical damaged structure, by updating physical parameters in each phase using iterative process of Levenberg-Marquardt algorithm. This algorithm is based on sensitivity analysis and pr...

متن کامل

Kalman Filter Algorithm for Adaptive Digital Predistortion

This paper introduces a recursive algorithm of Kalman filter for digital predistorter parameters extraction based on memory polynomials predistorter model. The predistorter model is firstly formulated as linear regression expression. Then we derive the state-space equation of the model and attain the steps of the algorithm. Finally, the accuracy and stability of the algorithm is proved by simul...

متن کامل

Efficient Multidimensional Polynomial Filtering for Nonlinear Digital Predistortion

In all of these cases, one-dimensional coefficient swaths of the kernel are used, taking advantage of the ability to perform fast one-dimensional convolutions. Using multidimensional filters, however, has advantages. Filtering in multiple dimensions more easily addresses asymmetric nonlinearities that sometimes occur in practice. To generalize the division of the Volterra kernel to use multidim...

متن کامل

An Algorithm of Digital Modulation Identification Based on Instantaneous Features

Automatic modulation identification plays an important role in non-cooperative communication systems. An improved approach, based on instantaneous features and binary tree classifier has been proposed for the classification of Medium Frequency (IF) digital signals at low signal-to-noise ratio (SNR) situation. Mean filter was applied to suppress the noise and five new characteristic parameters s...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Science China Information Sciences

سال: 2018

ISSN: 1674-733X,1869-1919

DOI: 10.1007/s11432-017-9420-y