An underwater acoustic data compression method based on compressed sensing

来源期刊:中南大学学报(英文版)2016年第8期

论文作者:杨坤德 郭晓乐 史阳 段睿

文章页码:1981 - 1989

Key words:compressed sensing; underwater acoustic signal; compression ratio; improved orthogonal matching pursuit (IOMP)

Abstract: The use of underwater acoustic data has rapidly expanded with the application of multichannel, large-aperture underwater detection arrays. This study presents an underwater acoustic data compression method that is based on compressed sensing. Underwater acoustic signals are transformed into the sparse domain for data storage at a receiving terminal, and the improved orthogonal matching pursuit (IOMP) algorithm is used to reconstruct the original underwater acoustic signals at a data processing terminal. When an increase in sidelobe level occasionally causes a direction of arrival estimation error, the proposed compression method can achieve a 10 times stronger compression for narrowband signals and a 5 times stronger compression for wideband signals than the orthogonal matching pursuit (OMP) algorithm. The IOMP algorithm also reduces the computing time by about 20% more than the original OMP algorithm. The simulation and experimental results are discussed.

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