基于LZW的海底声学探测数据压缩方法研究

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

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。

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.