Ing finish. (a) Several CIRs are generated by changing the depth (b) (c) of the transmitting transducer. (b) Several CIRs are generated by changing the depth of the receiving hydrophone. (c) A number of CIRs are generated by changing the horizontal distance.(a)Figure 10. Cont.(b)J. Mar. Sci. Eng. 2021, 9,12 of(a)(b)(c)(d)(e)(f)Figure ten. The predicted transmission loss of transmitter at unique depths. (a) Transmitter depth is 1 m. (b) Transmitter is 1 m. (b) Transmitter depth is 6 m. (c) Transmitter depth is 11 m. (d) Transmitter depth is 16 m. depth is six m. (c) Transmitter depth is 11 m. (d) Transmitter depth is 16 m. (e) Transmitter depth is 21 m. (f) Transmitter (e) Transmitter depth is 21 m. (f) Transmitter depth is 26 m. depth is 26 m.Figure ten. The predicted transmission loss of transmitter at Ionomycin In stock various depths. (a) Transmitter depth3.two. Performance Evaluation of your Decursin custom synthesis Method with out Preprocessing in Shallow Water Channels3.2. Performance Analysis in the Technique with out Preprocessing in Shallow Water Channels Inside the test stage, the input size with the facts sequence in every single time step of theIn the test stage, the network model is determined by the symbol length of the signal. Byof the neural input size from the facts sequence in each and every time step comparing the output of your neural by the model with the of the signal. By the BER curve is neural network model is determined networksymbol lengthsource data, comparing theobtained plus the performance with all the supply information and facts, the BER curve is oboutput with the neural network model from the DL-based CSK-SS UWA communication method is evaluated. In CSK-SS modulation, the number of bits carried by every symbol determines the tained as well as the performance of the DL-based CSK-SS UWA communication method is evalsymbol price of the system. When every symbol carries 4 bit, three bit, and 2 bit facts, the uated. symbol rates are 275.86 bps, 206.89 bps, and 137.9 bps, respectively. The simulation benefits In CSK-SS modulation, the quantity communication method in shallow water acoustic channels are in the DL-based CSK-SS of bits carried by every single symbol determines the symbol rate in the program.in Figure 11. As a consequence of thecarries 4selection ofand 2 bit data, 14 of 24 not the shown When every symbol random bit, 3 bit, many UWA channels that are J. Mar. Sci. Eng. 2021, 9, x FOR PEER Critique within the range of coaching and 137.9 bps, respectively. The simulation results the BER samples in the test stage (just like the green circle in Figure 6), symbol rates are 275.86 bps, 206.89 bps, curves in the traditional program and the DL-based program represent the are of the DL-based CSK-SS communication technique in shallow water acoustic channelsmean BER of several channels beneath various SNR. shown in Figure 11. On account of the random selection of various UWA channels that are not within the range of education samples inside the test stage (just like the green circle in Figure six), the BER curves of the conventional technique along with the DL-based technique represent the imply BER of several channels beneath various SNR.Figure BER curve of of DL-based method standard system (Con-S) without having preproFigure 11.11. BER curveDL-based method and and traditional technique (Con-S) devoid of preprocessing. cessing.With no channel equalization preprocessing, the performance of DL-based systems on two distinct neural network models is much better than that of your standard program in the SNR selection of -14 dB to 0 dB. Meanwhile, the anti-noise capacity of your LSTM.
