## 1 Introduction  
Underwater acoustic multimedia communication (UAMC) has attracted the interest of many researchers. [PERSON] et al. [1] conducted a simple investigation of the characteristics of multipath scattering propagation in underwater acoustic channels (UACs), and demonstrated the spatial and frequency correlation between two different propagation paths in UAC. UAC models help fulfill the real-time requirements of transmissions and analyze their bit error rates (BERs) for underwater multimedia signals in UAMC systems. Underwater imaging sensors, and underwater multimedia sensor networks (UMSNs) can be utilized for underwater explorations and environmental monitoring [2]. Reliable transmission and communication of underwater images are important features to be considered in the design of UMSNs. [PERSON] et al. [2] evaluated the performance of underwater image transmission over UMSNs using error concealment and correction algorithms. Their method integrated the forward error correction (FEC) method and adaptive retransmission technologies into an underwater image transmission system. [PERSON] et al. [3] developed an orthogonal frequency division multiplexing (OFDM)-based simulation platform with a channel estimation scheme, and demonstrated that the performance of the UAMC system was heavily dependent on the accuracy of the underwater channel estimation. [PERSON] et al. [4] proposed an underwater acoustic speech communication system that used a digital signal processor, linear predictive coding, and digital pulse position modulation technologies; and demonstrated that the received speech signals could be recovered clearly. [PERSON] et al. [5] developed a software-based underwater digital voice transmission system using the OFDM modulation scheme; the proposed technology can be used with mobile underwater vehicles at speeds of up to 30 nautical miles per hour. A real-time evaluation model of underwater voice communication, and a watermark algorithm with reference voice feature information are presented in [6]. Multiple-input multiple-output (MIMO) schemes with spatial multiplexing gain, filter bank multi-carrier (FBMC) modulation, the offset quadrature amplitude modulation (OQAM), and preamble-based channel estimation are integrated into a proposed underwater acoustic video transmission system, and the BER in the time and frequency dispersions in the UAC are discussed in [7]. The FBMC transmission method outperforms OFDM in terms of spectral efficiency gains [8]; however, the interference caused by the transmitted data in the time-frequency domain of a MIMO-FBMC system is a challenge, and a fast Fourier transform (FFT)-based FBMC transmission strategy is proposed to achieve low interference. [PERSON] et al. [9] presented the MIMO precoding and decoding matrices using an OQAM/FBMC system with a multi-stream transmission strategy in high coherence bandwidth MIMO channels. [PERSON] [10] adopted a sparse channel estimation method to realize accurate reconstruction of the channel information by adaptively selecting the support set, leading to a decrease in the intrinsic interference in a MIMO-FBMC/OQAM system. Higher spectral efficiency gains can be achieved using MIMO-FBMC/OQAM in comparison with those achieved using FBMC/OQAM [11]. [PERSON] et al. [11] utilized an extended preamble structure channel estimation method with a symmetrical pattern to decrease the inherent imaginary interference in the MIMO-FBMC/OQAM technology, thereby achieving lower peak to average power ratios (PAPRs), BERs, and mean square errors (MSEs), in comparison with those obtained using conventional MIMO-FBMC/OQAM channel estimation methods. In [12], the asymptotic performance of an FBMC-based system using massive MIMO technology was studied, and it was observed that the inter-symbol and inter-carrier interferences did not decrease with an increase in the number of base station antennas.