Effects of anti-aliasing filters in feedback path of adaptive predistortion
(2002) Proceedings of 2002 International Microwave Symposium (MTT 2002) p.469-472- Abstract
- Adaptive predistortion is one of the most promising methods to linearize RF power amplifiers (PAs). Its linearity performance is, however, limited by various memory effects existing in the system. In this paper, we study the effects of anti-aliasing filters in the feedback path of adaptive predistortion. Different filter approximations are examined with a class AB power amplifier by means of simulations. Of the filters studied, Butterworth filters perform better than Chebyshev filters when they have the same noise-equivalent bandwidth (NEB). Simulation results also show that the cut-off frequency of the anti-aliasing filter affects both the convergence speed of the adaptation algorithm and the level of mean square error (MSE) between the... (More)
- Adaptive predistortion is one of the most promising methods to linearize RF power amplifiers (PAs). Its linearity performance is, however, limited by various memory effects existing in the system. In this paper, we study the effects of anti-aliasing filters in the feedback path of adaptive predistortion. Different filter approximations are examined with a class AB power amplifier by means of simulations. Of the filters studied, Butterworth filters perform better than Chebyshev filters when they have the same noise-equivalent bandwidth (NEB). Simulation results also show that the cut-off frequency of the anti-aliasing filter affects both the convergence speed of the adaptation algorithm and the level of mean square error (MSE) between the desired and the feedback signals. To a certain degree, the higher the cut-off frequency of the filter, the less the number of iterations needed by the adaptation process (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/610914
- author
- Shan, Weiyun LU and Sundström, Lars LU
- organization
- publishing date
- 2002
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- anti-aliasing filter cut-off frequency, noise-equivalent bandwidth, Chebyshev filters, Butterworth filters, simulations, class AB power amplifier, filter approximations, feedback path, memory effects, linearity performance, RF power amplifier linearization, adaptive predistortion, anti-aliasing filters, adaptive predistortion feedback path, mean square error, adaptation algorithm convergence speed, filter cut-off frequency, iterations, adaptation process
- host publication
- 2002 IEEE MTT-S International Microwave Symposium Digest (Cat. No.02CH37278)
- pages
- 469 - 472
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- Proceedings of 2002 International Microwave Symposium (MTT 2002)
- conference location
- Seattle, WA, United States
- conference dates
- 2002-06-02 - 2002-06-07
- external identifiers
-
- wos:000178310900108
- scopus:0036070483
- ISBN
- 0-7803-7239-5
- DOI
- 10.1109/MWSYM.2002.1011657
- language
- English
- LU publication?
- yes
- id
- c13aaa6c-cf7e-47fe-ba2e-5214c836d298 (old id 610914)
- date added to LUP
- 2016-04-04 12:22:04
- date last changed
- 2022-01-29 23:19:35
@inproceedings{c13aaa6c-cf7e-47fe-ba2e-5214c836d298, abstract = {{Adaptive predistortion is one of the most promising methods to linearize RF power amplifiers (PAs). Its linearity performance is, however, limited by various memory effects existing in the system. In this paper, we study the effects of anti-aliasing filters in the feedback path of adaptive predistortion. Different filter approximations are examined with a class AB power amplifier by means of simulations. Of the filters studied, Butterworth filters perform better than Chebyshev filters when they have the same noise-equivalent bandwidth (NEB). Simulation results also show that the cut-off frequency of the anti-aliasing filter affects both the convergence speed of the adaptation algorithm and the level of mean square error (MSE) between the desired and the feedback signals. To a certain degree, the higher the cut-off frequency of the filter, the less the number of iterations needed by the adaptation process}}, author = {{Shan, Weiyun and Sundström, Lars}}, booktitle = {{2002 IEEE MTT-S International Microwave Symposium Digest (Cat. No.02CH37278)}}, isbn = {{0-7803-7239-5}}, keywords = {{anti-aliasing filter cut-off frequency; noise-equivalent bandwidth; Chebyshev filters; Butterworth filters; simulations; class AB power amplifier; filter approximations; feedback path; memory effects; linearity performance; RF power amplifier linearization; adaptive predistortion; anti-aliasing filters; adaptive predistortion feedback path; mean square error; adaptation algorithm convergence speed; filter cut-off frequency; iterations; adaptation process}}, language = {{eng}}, pages = {{469--472}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Effects of anti-aliasing filters in feedback path of adaptive predistortion}}, url = {{http://dx.doi.org/10.1109/MWSYM.2002.1011657}}, doi = {{10.1109/MWSYM.2002.1011657}}, year = {{2002}}, }