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采用RS-CC级联码提高深海投弃式剖面仪传输可靠性的研究

Research of Using Reed-Solomon Convolutional Concatenated Code to Improve the Transmission Accuracy of Deep-Sea Abandoned Profiler Measuring Instrument

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【作者】 郑羽宋国民尚应生李红志张孝薇田磊李晴文

【Author】 ZHENG Yu;SONG Guo-Min;SHANG Ying-Sheng;LI Hong-Zhi;ZHANG Xiao-Wei;TIAN Lei;LI Qing-Wen;Tianjin Polytechnic University school of Information and Electrical Engineering;ChinaTianjin Key Laboratory of Optoelectronic Investigation Technology and Systems;China National Ocean Technology Center;

【机构】 天津工业大学电子与信息工程学院天津市光电检测技术与系统重点实验室国家海洋技术中心

【摘要】 为了提高深海投弃式剖面仪ASK频带传输的可靠性,提出了RS-CC级联码的解决方案。首先,从信道模型入手,分析了XCTD时变信道的特点;其次,根据信道环境存在复杂噪声的特点,分析了信号在传输过程中可能产生的错码类型,设计了(255,223)RS码+(8,255)交织器+(7,1/2)卷积码的算法结构;最后,针对XCTD的工作特点,分析了不同探测深度、传输频率和噪声量级条件下信号传输的误码率。仿真结果表明,RS-CC级联码的编码方案能够保证XCTD以高传输频率在大深度、大噪声环境中测量时较高的数据传输可靠性,对提高深海投弃式剖面仪传输性能提供了一种新的研究思路。

【Abstract】 In order to improve the accuracy of ASK band transmission of deep-sea abandoned profiler measuring instrument,this paper proposes the solution of Reed-Solomon Convolutional Concatenated Code.Firstly,starting with the XCTD channel model,we analyze the characteristic of time-varying channel;Secondly,according to the characteristic that the channel environment contains complex noise,we analyze the type of error code when data signal transmit in the channel,and design the algorithm structure of(255,223)Reed-Solomon(RS)code+(8,255)Interleaver+(7,1/2)Convolutional code;Finally,we analyze the error rate of signal transmission under the conditions of different investigation depth,transmission frequency and level of noise on the basis of XCTD work characteristics.The result of simulation indicates that the encoding scheme of Reed-Solomon Convolutional Concatenated Code is able to ensure the higher accuracy of data transmission when XCTD measures in the great-depth and strong-noise environment at high transmission frequency,and provides a new research idea for improving the transmission performance of deep-sea abandoned profiler measuring instrument.

【基金】 天津市应用基础与前沿技术研究计划项目(14JCYBJC16300);国家自然科学基金项目(41506122)资助~~
  • 【文献出处】 中国海洋大学学报(自然科学版) ,Periodical of Ocean University of China , 编辑部邮箱 ,2018年09期
  • 【分类号】P716
  • 【被引频次】2
  • 【下载频次】59
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