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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xue-fei Ma Chun-hui Zhao Gang Qiao |
| Copyright Year | 2009 |
| Abstract | In this paper we proposed a novel approach of channel estimation based on wavelet and MMSE. Recently, there have been tremendous demands for high-speed data transmission in underwater acoustic communications. Accurate channel estimation is necessary for coherent detection of the underwater acoustic orthogonal frequency division multiplexing (OFDM) signals. Pilot-assisted channel estimation using training sequence to obtains the channel information, the transmitter rate decrease rapidly along with the number of training sequence increase. We proposed a approach using less training to estimate the channel by wavelet and Minimum Mean Square Error ( MMSE), the pilot sequence before transmitting is convolutionnal encoded for the correlation of symbol, at the receive wavelet denoise is imposed to eliminate the Additive white Gaussian noise (AWGN) then using MMSE to obtain others frequency bin channel impulse response inner the same block |
| Starting Page | 573 |
| Ending Page | 577 |
| File Size | 340365 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769535012 |
| DOI | 10.1109/CMC.2009.174 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-01-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Underwater communication AWGN OFDM Frequency estimation Acoustic signal detection Underwater tracking Wavelet Transmitters Channel estimation MMSE Channel Estimation Underwater Acoustic Data communication Underwater acoustics |
| Content Type | Text |
| Resource Type | Article |
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