Adaptive Predistortions Based on Neural Networks Associated with Levenberg-Marquardt Algorithm for Satellite Down Links
This paper presents adaptive predistortion techniques based on a feed-forward neural network (NN) to linearize power amplifiers such as those used in satellite communications. Indeed, it presents the suitable NN structures which give the best performances for three satellite down links. The firs...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2008-08-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Online Access: | http://dx.doi.org/10.1155/2008/132729 |
| _version_ | 1818241842625380352 |
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| author | Daniel Roviras Ridha Bouallegue Rafik Zayani |
| author_facet | Daniel Roviras Ridha Bouallegue Rafik Zayani |
| author_sort | Daniel Roviras |
| collection | DOAJ |
| description | This paper presents adaptive predistortion techniques based on a feed-forward neural network (NN) to linearize power amplifiers such as those used in satellite communications. Indeed, it presents the suitable NN structures which give the best performances for three satellite down links. The first link is a stationary memoryless travelling wave tube amplifier (TWTA), the second one is a nonstationary memoryless TWT amplifier while the third is an amplifier with memory modeled by a memoryless amplifier followed by a linear filter. Equally important, it puts forward the studies concerning the application of different NN training algorithms in order to determine the most prefermant for adaptive predistortions. This comparison examined through computer simulation for 64 carriers and 16-QAM OFDM system, with a Saleh's TWT amplifier, is based on some quality measure (mean square error), the required training time to reach a particular quality level, and computation complexity. The chosen adaptive predistortions (NN structures associated with an adaptive algorithm) have a low complexity, fast convergence, and best performance. |
| first_indexed | 2024-12-12T13:35:46Z |
| format | Article |
| id | doaj.art-da15e4c9d8724cf6a21a41b83d39b421 |
| institution | Directory Open Access Journal |
| issn | 1687-1472 1687-1499 |
| language | English |
| last_indexed | 2024-12-12T13:35:46Z |
| publishDate | 2008-08-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-da15e4c9d8724cf6a21a41b83d39b4212022-12-22T00:22:58ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992008-08-01200810.1155/2008/132729Adaptive Predistortions Based on Neural Networks Associated with Levenberg-Marquardt Algorithm for Satellite Down LinksDaniel RovirasRidha BouallegueRafik ZayaniThis paper presents adaptive predistortion techniques based on a feed-forward neural network (NN) to linearize power amplifiers such as those used in satellite communications. Indeed, it presents the suitable NN structures which give the best performances for three satellite down links. The first link is a stationary memoryless travelling wave tube amplifier (TWTA), the second one is a nonstationary memoryless TWT amplifier while the third is an amplifier with memory modeled by a memoryless amplifier followed by a linear filter. Equally important, it puts forward the studies concerning the application of different NN training algorithms in order to determine the most prefermant for adaptive predistortions. This comparison examined through computer simulation for 64 carriers and 16-QAM OFDM system, with a Saleh's TWT amplifier, is based on some quality measure (mean square error), the required training time to reach a particular quality level, and computation complexity. The chosen adaptive predistortions (NN structures associated with an adaptive algorithm) have a low complexity, fast convergence, and best performance.http://dx.doi.org/10.1155/2008/132729 |
| spellingShingle | Daniel Roviras Ridha Bouallegue Rafik Zayani Adaptive Predistortions Based on Neural Networks Associated with Levenberg-Marquardt Algorithm for Satellite Down Links EURASIP Journal on Wireless Communications and Networking |
| title | Adaptive Predistortions Based on Neural Networks Associated with Levenberg-Marquardt Algorithm for Satellite Down Links |
| title_full | Adaptive Predistortions Based on Neural Networks Associated with Levenberg-Marquardt Algorithm for Satellite Down Links |
| title_fullStr | Adaptive Predistortions Based on Neural Networks Associated with Levenberg-Marquardt Algorithm for Satellite Down Links |
| title_full_unstemmed | Adaptive Predistortions Based on Neural Networks Associated with Levenberg-Marquardt Algorithm for Satellite Down Links |
| title_short | Adaptive Predistortions Based on Neural Networks Associated with Levenberg-Marquardt Algorithm for Satellite Down Links |
| title_sort | adaptive predistortions based on neural networks associated with levenberg marquardt algorithm for satellite down links |
| url | http://dx.doi.org/10.1155/2008/132729 |
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