## 3 Simulation Results
Figure 6 illustrates the original (black), and received (red) voice signals using the \(2\times 2\) DM-based MIMO-OFDM UAMCA with a BER of \(10^{-2}\) and a CEE of \(10\%\), and with BPSK modulation technology. The mean square error (MSE) performance is \(2.68\times 10^{4}\), and the received voice is unclear. MSE is the evaluation parameter used for the received voice and the MSE of the original and received voice signals using the \(2\times 2\) DM-based MIMO-OFDM UAMCA is given as follows:  
\[MSE=\frac{1}{W}\sum_{i=1}^{W}\left(V_{i}-\hat{V}_{i}\right)^{2} \tag{7}\]  
where \(V_{i}\) is the original voice signal in the underwater simulation transmission experiment (USTE), \(\hat{V}_{i}\) is the received voice signal in the USTE, and \(W\) is the length of the voice signal. Figure 7 illustrates the original (black), and the received (red) voice signals using the \(2\times 2\) DM-based MIMO-FBMC UAMCA using BPSK modulation technology with a BER of \(10^{-3}\) and a CEE of \(10\%\). The MSE performance is \(6.90\times 10^{-5}\), and the received voice is clear to human listeners. Figure 8 illustrates  
Figure 5: The PS ratio of the DM-based MIMO-FBMC UAMCA with the BER of \(10^{-5}\), for CEEs of \(5\%\), \(10\%\), and \(20\%\). the original image signal in the USTE. Figure 9 illustrates the received image signal using the \(2\times 2\) DM-based MIMO-FBMC UAMCA using BPSK modulation technology with a BER of \(10^{-3}\) and a CEE of \(10\%\). The received image evaluation parameter is peak SNR (PSNR). The PSNR parameter in the \(2\times 2\) DM-based MIMO-FBMC UAMCA is defined as follows:  
\[\textit{IMSE}=\frac{1}{st}\sum_{i=0}^{s-1}\sum_{j=0}^{t-1}[A(i,j)-B(i,j)]^{2} \tag{8}\]  
\[PSNR=10\log_{10}\left(\frac{Max(A(i,j))^{2}}{\textit{IMSE}}\right) \tag{9}\]  
where _IMSE_ is the image MSE of an image signal comprised of \(s\times t\) pixels. _A(i,j)_ and _B(i,j)_ are the matrices containing the pixel values, for the original and received image signals, respectively. The PSNR of the received image is \(53.50\) dB in Figure 9, and the received image has a snowflake effect. Figure 6: The original (black), and the received (red) voice signals using the \(2\times 2\) DM-based MIMO-FBMC UAMCA using BPSK modulation technology with a BER of \(10^{-2}\) and a CEE of \(10\%\). Figure 7: The original (black), and the received (red) voice signals using the \(2\times 2\) DM-based MIMO-FBMC UAMCA using BPSK modulation technology with a BER of \(10^{-3}\) and a CEE of \(10\%\). Figure 10 illustrates the received image signal using the \(2\times 2\) DM-based MIMO-FBMC UAMCA using BPSK modulation technology with a BER of \(10^{-4}\) and a CEE of \(10\%\). The PSNR of the received image is 67.52 dB in Figure 10, and the received image is clear to human viewers. Figure 11 shows the data symbol error (DSE) rates of the \(2\times 2\) DM-based MIMO-FBMC UAMCA with a PCE, CEEs of \(5\%\), \(10\%\), and \(20\%\), with BPSK and 4-OQAM modulation technologies. The 100,000 data symbols were simulated in the underwater data transmission experiment. The DSE rates for the proposed UAMCA with CEEs of \(0\%\), \(5\%\), \(10\%\), and \(20\%\), respectively, and BPSK modulation technologies, are 0.00006, 0.00008, 0.00014, and 0.00064, with the SNR of 12.59 dB. The DSE rates of the proposed UAMCA with 4-OQAM modulation technologies, are 0.00088, 0.00168, 0.00346, and 0.01222, under the same conditions. The DSE rate performance for the proposed UAMCA with BPSK modulation technology is better than that with 4-OQAM modulation technology, and as the CEEs increase, the DSE rate performance decreases. Figure 2:0 The original image signal in the USTE. Figure 2:1 The received image signal using the \(2\times 2\) DM-based MIMO-FBMC UAMCA using BPSK modulation technology with a BER of \(10^{-3}\) and a CEE of \(10\%\).