Weak Signal Detection in Underwater Acoustic Based on Time-Series Characteristic

Hai Ping Wu; Shi Jian Zhu; Jing Jun Lou; Li Yang Yu

doi:10.4028/www.scientific.net/AMR.216.548

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 216Weak Signal Detection in Underwater Acoustic Based...

Weak Signal Detection in Underwater Acoustic Based on Time-Series Characteristic

Abstract:

For limitation of the matched filter method in underwater acoustic detection,a method of underwater acoustic weak signal detection based on time series characteristic quantity is proposed．Chaotic waveforms, which have thumbtack type ambiguity function, is selected as the waveform of active sonar in the situation of High Dynamic Doppler Frequency Shift. According to the change of correlation dimension while chaotic radar echo appears in the chaotic background, chaotic radar echo is checked out by the means of simulation in the situation of high dimensional chaotic background and low dimensional chaotic background．The method proves out in high dimensional chaotic background．

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Periodical:

Advanced Materials Research (Volume 216)

Pages:

548-552

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.216.548

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Online since:

March 2011

Authors:

Hai Ping Wu, Shi Jian Zhu, Jing Jun Lou, Li Yang Yu

Keywords:

Active Sonar, Chaos, Detection Techniques, Weak Signal Detection

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