碩士 / 國立海洋大學 / 電機工程學系 / 91 / With the improvement in digital communications, people come to maturity in the field of underwater acoustic communications, too. In order to increase the transmission effects, digital communications generally use phase shift keying (PSK) signaling. However, because of the complicated energy loss in underwater channel, the acoustic signals need equalizer to overcome the multi-path and Doppler effect.
When we know the channel’s order, radial basis function network (RBFN) equalizer with Bayesian decision feedback theory and clustering algorithm exhibits good convergence rate and symbol-error rate. As the severe inter-symbol interference and nonlinear channel, RBFN equalizer still has better performance than traditional decision feedback equalizer.
Finally, with the fast-clustering technique, RBFN equalizer can speed up the convergence rate and get better tracking capabilities. This will improve the quality and increase the capacity, and we expect to put in use of under water acoustic communications effectively.
| Identifer | oai:union.ndltd.org:TW/091NTOU0442012 |
| Date | January 2003 |
| Creators | Mitter Tang, 湯功臺 |
| Contributors | S.H.Chang, 張順雄 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 76 |
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