An underwater acoustic data compression method based on compressed sensing

Xiao le Guo, Kun de Yang, Yang Shi, Rui Duan

科研成果: 期刊稿件文章同行评审

4 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)1981-1989
页数9
期刊Journal of Central South University
23
8
DOI
出版状态已出版 - 1 8月 2016

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