Multireceiver acoustic communications in time-varying environments
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In this thesis, we present a two-receiver underwater acoustic communications system. It is based on the Kalman filter for equalization and tracking of acoustic channels characterized by considerable multipath. To model this channel and its dependency on the ocean environment we use the Bellhop acoustic ray tracing model. Error-correction coding is applied to the source data. Recursively updated channel estimates are used to update the state filters and tracking of the channel. It is shown that, under moderate conditions of Doppler shift and signal-to-noise (SNR) ratio, this algorithm is effective in tracking the channel and reconstructing the transmitted data.
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