Direct Mapping Based FBMC-LDPC Advanced Underwater Acoustic Transmission Scheme for Data Signals

Lin, Chin‐Feng; Su, Tsung-Jen; Chang, Shun‐Hsyung; Parinov, Ivan A.; Shevtsov, Sergey

doi:10.1007/978-3-030-45120-2_49

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“…Direct-mapping (DM) orthogonal variable spreading factor (OVSF)-based [18], MIMO-OFDM-based [19], Gold sequence (GS) MIMO OVSF/OFDM-based [20], and OVSF/OFDM-based [21] underwater acoustic transmission methods have also been studied. The DM-based MIMO-FBMC underwater acoustic transmission method was used to transmit audio [22] and data [23] Figure 1 draws the proposed 2 × 2 DM-based MIMO-FBMC UAMCA. The multimedia signals include voice, image and data signals.…”

Section: Introductionmentioning

confidence: 99%

Direct-Mapping-Based MIMO-FBMC Underwater Acoustic Communication Architecture for Multimedia Signals

Lin

Chang

et al. 2019

Applied Sciences

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In this paper, a direct-mapping (DM)-based multi-input multi-output (MIMO) filter bank multi-carrier (FBMC) underwater acoustic multimedia communication architecture (UAMCA) is proposed. The proposed DM-based MIMO-FBMC UAMCA is rare and non-obvious in the underwater multimedia communication research topic. The following are integrated into the proposed UAMCA: A 2 × 2 DM transmission mechanism, a (2000, 1000) low-density parity-check code encoder, a power assignment mechanism, an object-composition petrinet mechanism, adaptive binary phase shift keying modulation and 4-offset quadrature amplitude modulation methods. The multimedia signals include voice, image, and data. The DM transmission mechanism in different spatial hardware devices transmits different multimedia packets. The proposed underwater multimedia transmission power allocation algorithm (UMTPAA) is simple, fast, and easy to implement, and the threshold transmission bit error rates (BERs) and real-time requirements for voice, image, and data signals can be achieved using the proposed UMTPAA. The BERs of the multimedia signals, data symbol error rates of the data signals, power saving ratios of the voice, image and data signals, mean square errors of the voice signals, and peak signal-to-noise ratios of the image signals, for the proposed UAMCA with a perfect channel estimation, and channel estimation errors of 5%, 10%, and 20%, respectively, were explored and demonstrated. Simulation results demonstrate that the proposed 2 × 2 DM-based MIMO-FBMC UAMCA is suitable for low power and high speed underwater multimedia sensor networks.

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