https://cyberleninka.org/article/n/1352480.pdf

Development of energy-saving devices for a full slow-speed ship through improving propulsion performance

https://www.degruyter.com/dg/viewarticle.fullcontentlink:pdfeventlink/$002fj$002fijnaoe.2015.7.issue-2$002fijnaoe-2015-0029$002fijnaoe-2015-0029.pdf?t:ac=j$002fijnaoe.2015.7.issue-2$002fijnaoe-2015-0029$002fijnaoe-2015-0029.xml

Dynamics modeling of a semi-submersible autonomous underwater vehicle with a towfish towed by a cable

Underwater environments create a challenging channel for communications. In this paper, we design a novel receiver system by exploring the machine learning technique–Deep Belief Network (DBN) – to combat the signal distortion caused by the Doppler effect and multi-path propagation. We evaluate the performance of the proposed receiver system in both simulation experiments and sea trials. Our proposed receiver system comprises of DBN based de-noising and classification of the received signal. First, the received signal is segmented into frames before the each of these frames is individually pre-processed using a novel pixelization algorithm. Then, using the DBN based de-noising algorithm, features are extracted from these frames and used to reconstruct the received signal. Finally, DBN based classification of the reconstructed signal occurs. Our proposed DBN based receiver system does show better performance in channels influenced by the Doppler effect and multi-path propagation with a performance improvement of 13.2dB at 10−3 Bit Error Rate (BER).

Underwater Acoustic Communication Receiver Using Deep Belief Network

Fine Doppler scale estimations for an underwater acoustic CP-OFDM system

Multiuser chirp modulation for underwater acoustic channel based on VTRM

Doppler-shift estimation of flat underwater channel using data-aided least-square approach

The invention discloses a Doppler compensation method for a received signal in underwater acoustic communication. The method comprises the following steps: a sending terminal sending a training signal and enabling the signal to be transmitted in a channel containing Doppler frequency shift and noise; obtaining the sampling value y(n) of a received signal, estimating the corresponding received signal y-hat(n) by means of the training signal s(n), and minimizing a mean square error between the estimation value Y-hat(n) of the received signal and the actual sampling value y(n) according to a minimum mean square error criterion so that a target function is obtained; solving the target function and obtaining an estimation value delta relative to the Doppler frequency shift; and obtaining, according to the obtained relative Doppler frequency shift estimation value delta, a Doppler frequency shift D of the channel so as to perform Doppler compensation on the received signal. The method provided by the invention allows large channel attenuation of a communication system channel, and effective solution can be carried out by using the optimization theory in mathematics without knowing a channel attenuation coefficient in advance.

Doppler compensation method for received signal in underwater acoustic communication

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Doppler-shift estimation of flat underwater channel using data-aided least-square approach

Doppler compensation method for received signal in underwater acoustic communication