引用本文:	晋松,裴彦良,阚光明,吴爱平,付青青.基于LZW的海底声学探测数据压缩方法研究[J].海洋科学,2019,43(4):36-45.

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基于LZW的海底声学探测数据压缩方法研究
晋松¹, 裴彦良^2,3,4, 阚光明^2,3,4, 吴爱平¹, 付青青¹
1.长江大学电工电子国家级实验教学示范中心, 湖北荆州 434023;2.青岛海洋科学与技术试点国家实验室海洋地质过程与环境功能实验室, 山东青岛 266061;3.自然资源部第一海洋研究所, 山东青岛 266061;4.海洋沉积与环境地质自然资源部重点实验室, 山东青岛 266061

摘要:

针对海底声学探测仪器采集数据量大而存储容量有限、数据传输带宽不足的实际问题，基于Lempel-Ziv-Welch （LZW）无损压缩算法，研究海底声学探测数据的实时压缩方法，提高数据压缩效果、节省传输带宽。并在LZW无损压缩算法的基础上结合数据存储的特点对压缩结果进行内存重新分配，极大提高压缩比（压缩数据大小/原始数据大小）。利用海底地震仪（OBS）采集的原始声学探测数据进行测试验证，结果表明该方法对于OBS声学探测数据有很好的压缩比，可用于对OBS采集的声学探测数据进行压缩处理，对于海底探测仪器的研发有很好的指导意义。

关键词: Lempel-Ziv-Welch(LZW)无损压缩算法无损压缩海底地震仪海底声学探测数据

DOI：10.11759/hykx20180721001

分类号:P716⁺.83

基金项目:青岛海洋科学与技术国家实验室“问海计划”（2017WHZZB0401）；青岛海洋科学与技术国家实验室海洋地质过程与环境功能实验室开放基金（MGQNLM-KF201705）；国家自然科学基金（41527809）；泰山学者工程专项经费（TSPD20161007）；长江大学电工电子国家级实验教学示范中心开放课题（SFZX2018015）

Data compression method for submarine acoustic detection based on LZW compression algorithm

JIN Song¹, PEI Yan-liang^2,3,4, KAN Guang-ming^2,3,4, WU Ai-ping¹, FU Qing-qing¹

1.National Experimental Teaching and Demonstration Center of Electrical and Electronic Engineering, Yangtze University, Jingzhou 434023, China;2.Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology(Qingdao), Qingdao 266061, China;3.First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China;4.Key Laboratory of Marine Sedimentology and Environmental Geology, Ministry of Natural Resources, Qingdao 266061, China

Abstract:

Considering the practical problems of large data collection volume, limited storage capacity, and insufficient data transmission bandwidth of submarine acoustic detection instruments, this study investigates the real-time compression method of submarine acoustic detection data based on Lempel-Ziv-Welch (LZW) lossless compression algorithm. This method redistributes the storage space of the compression results on the basis of the LZW compression algorithm and data storage characteristics; hence, the compression ratio (compressed data bytes/data bytes before compression) can be considerably reduced. Based on a test using the original acoustic detection data of ocean bottom seismographs (OBS), the results show that this compression method features a good compression ratio for OBS acoustic detection data and can be used to compress acquired OBS acoustic detection data. This study can significantly guide the development of submarine detection instruments.

Key words: LZW compression algorithm lossless compression ocean bottom seismograph submarine acoustic detection data