Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication
We presented an iterative turbo equalization to cope with intersymbol interference induced by reflection of sea level and sea bottom for underwater sensor communication channel. Iterative turbo equalizer consists of inner codes and outer codes; we employ decision feedback equalizer as an outer code...
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| Format: | Article |
| Language: | English |
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Wiley
2013-12-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/129781 |
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| _version_ | 1832556702688346112 |
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| author | Ji Won Jung Ki Man Kim |
| author_facet | Ji Won Jung Ki Man Kim |
| author_sort | Ji Won Jung |
| collection | DOAJ |
| description | We presented an iterative turbo equalization to cope with intersymbol interference induced by reflection of sea level and sea bottom for underwater sensor communication channel. Iterative turbo equalizer consists of inner codes and outer codes; we employ decision feedback equalizer as an outer code and turbo codes as an inner code. Equalizer and decoder are connected through the interleaving and deinterleaving that update each other's information repeatedly. At the receiver side, we resort to powerful turbo equalization algorithms that iteratively exchange probabilistic information between inner decoder and outer decoder, thereby reducing the error rates significantly. Furthermore, we expand iterative turbo equalizer techniques for single-input-single-output (SISO) system to multiple-input-multiple-output (MIMO) system in order to increase data rates for underwater sensor communication channel. Based on experimental channel response, we confirmed that the performance is improved as iteration number is increased. The performance is improved by 3.5 [dB] compared to noniteration for SISO channel and by 1 [dB] for MIMO channel, respectively. We also decided that optimal iterations are 3. Very important for a successful decoding is the channel estimation, which is also discussed. |
| format | Article |
| id | doaj-art-b18eae93107a4325a1149c594380496d |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2013-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-b18eae93107a4325a1149c594380496d2025-02-03T05:44:35ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-12-01910.1155/2013/129781129781Optimizing of Iterative Turbo Equalizer for Underwater Sensor CommunicationJi Won JungKi Man KimWe presented an iterative turbo equalization to cope with intersymbol interference induced by reflection of sea level and sea bottom for underwater sensor communication channel. Iterative turbo equalizer consists of inner codes and outer codes; we employ decision feedback equalizer as an outer code and turbo codes as an inner code. Equalizer and decoder are connected through the interleaving and deinterleaving that update each other's information repeatedly. At the receiver side, we resort to powerful turbo equalization algorithms that iteratively exchange probabilistic information between inner decoder and outer decoder, thereby reducing the error rates significantly. Furthermore, we expand iterative turbo equalizer techniques for single-input-single-output (SISO) system to multiple-input-multiple-output (MIMO) system in order to increase data rates for underwater sensor communication channel. Based on experimental channel response, we confirmed that the performance is improved as iteration number is increased. The performance is improved by 3.5 [dB] compared to noniteration for SISO channel and by 1 [dB] for MIMO channel, respectively. We also decided that optimal iterations are 3. Very important for a successful decoding is the channel estimation, which is also discussed.https://doi.org/10.1155/2013/129781 |
| spellingShingle | Ji Won Jung Ki Man Kim Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication International Journal of Distributed Sensor Networks |
| title | Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication |
| title_full | Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication |
| title_fullStr | Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication |
| title_full_unstemmed | Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication |
| title_short | Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication |
| title_sort | optimizing of iterative turbo equalizer for underwater sensor communication |
| url | https://doi.org/10.1155/2013/129781 |
| work_keys_str_mv | AT jiwonjung optimizingofiterativeturboequalizerforunderwatersensorcommunication AT kimankim optimizingofiterativeturboequalizerforunderwatersensorcommunication |