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  1. National Taiwan Ocean University Research Hub

Direct Mapping Based Mimo-Gfdm Underwater Acoustic Communication Scheme for Voice and Image Signals-3

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Project title
Direct Mapping Based Mimo-Gfdm Underwater Acoustic Communication Scheme for Voice and Image Signals-3
Code/計畫編號
MOST109-2221-E992-091
Translated Name/計畫中文名
一種基於直接映射多輸入多輸出廣義分頻多工水下聲學影音訊號通訊技術-3
 
Project Coordinator/計畫主持人
Chin-Feng Lin
Funding Organization/主管機關
National Science and Technology Council
 
Co-Investigator(s)/共同執行人
張順雄
文展權
 
Department/Unit
National Kaohsiung University of Science and Technology, NKUST
Website
https://www.grb.gov.tw/search/planDetail?id=13533451
Year
2020
 
Start date/計畫起
01-08-2020
Expected Completion/計畫迄
01-07-2021
 
Bugetid/研究經費
819千元
 
ResearchField/研究領域
土木水利工程
 

Description

Abstract
在本計畫,本團隊提出一種直接映射多輸入多輸出廣義分頻多工水中聲學聲音和影像訊號傳輸技術。此技術整合 2 x 2 直接映射傳輸機制、功率控制機制、(2000, 1000) 低密度檢查碼通道編碼器、物件派翠網路機制和適應性四正交振幅調變和十六正交振幅調變方法。不同聲音或影像封包,應用直接映射機制,使用不同硬體傳輸。三個水下聲音訊號和六個水下影像訊號使用本計畫所提出一種 2 x 2 直接映射多輸入多輸出廣義分頻多工水中聲學聲音和影像訊號傳輸技術進行模擬。此技術可達到水下聲音和影像訊號傳輸,臨界傳輸位元錯誤率和即時需求。我們將探索和模擬此技術具完美通道估測、具5% 和10% 通道估測誤差,水下聲音和影像訊號傳輸,傳輸位元錯誤率和節省功率效能。所接收水下聲音訊號和原始聲音平均均方誤差效能。所接收水下影像訊號和原始影像峰值訊號雜訊效能。模擬結果將論述,本團隊提出一種直接映射多輸入多輸出廣義分頻多工水中聲學聲音和影像訊號傳輸技術適合高速度和低功率水中聲學聲音和影像訊號感測網路使用。 In the project, a direct-mapping (DM)-based Multi-input multi-output (MIMO)-generalized frequency division multiplexing (GFDM)underwater acoustic voice and image communication scheme (UAVICS) is proposed. The following are integrated into the proposed UAMCS: a 2 x 2 DM transmission mechanism, a power assignment mechanism, a (2000, 1000) low-density parity-check code encoder, an object-composition petrinet mechanism, adaptive 4 quadrature amplitude modulation (QAM) and 16 QAM techniques. The DM transmission mechanism in different spatial hardware devices transmits different voice and image packets. Three underwater voice signals and six underwater image signals will be simulated using the proposed 2 x 2 DM-based MIMO-GFDM UAVICS. In addition, the threshold transmission bit error rates and real-time requirements for voice, and image signals can be achieved using the proposed UAVICS. The BERs of the voice and image signals, power saving ratios of the voice, and image signals, mean square errors of the received voice signals, and peak signal-to-noise ratios of the received image signals, for the proposed UAVICS with a perfect channel estimation, and channel estimation errors of 5%, and 10%, respectively, were explored and demonstrated. Simulation results will demonstrate that the proposed 2 x 2 DM-based MIMO-GFDM UAVICS is suitable for low power and high speed underwater voice and image sensor networks.
 
Keyword(s)
直接映射
多輸入多輸出廣義分頻多工
高速度
低功率
水下影音傳輸
direct-mapping (DM)
multiple-input multi-output (MIMO)-Generalized frequency division multiplexing (GFDM)
high speed
lower power
underwater voice and image transmission
 
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