Walsh Transform in Transient Echo Recognition

Ping Li; Yu Ru Wang; Huan Lin Lv; Nian Yu Zou

doi:10.4028/www.scientific.net/AMR.694-697.2865

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697Walsh Transform in Transient Echo Recognition

Walsh Transform in Transient Echo Recognition

Abstract:

The identification of the echo signals is one of the key technologies of the underwater sound equipment. This paper presents the method that the active sonar signals can be extracted through time-frequency analysis and recognized through adaptive resonance theory (ART) according to the characteristics of the echo. The method has been proved to be effective in practice.

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Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

2865-2869

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.694-697.2865

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Online since:

May 2013

Authors:

Ping Li, Yu Ru Wang, Huan Lin Lv, Nian Yu Zou

Keywords:

Active Sonar, Feature Extraction, Walsh Spectrum

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References

[1] X.D. Zhang: Modern Signal Processing (TsingHua University Press, Beijing), in Chinese.

Google Scholar

[2] Y.C. Wu, E.F. S: Review on underwater target feature extraction technology based on active sonar, Journal of Harbin Engineering University, in Chinese.

Google Scholar

[3] Y. Peng: Analysis of sonar recognition of target based on time-frequency and double spectrum analysis, Harbin Engineering University master's thesis, in Chinese.

Google Scholar

[4] P. Wu, W. Li: Double spectrum analysis barcode signal denoising simulation, Journal of Shenyang Normal University: Nat Sci Ed (2010), in Chinese.

Google Scholar

[5] Q.J. Zeng, F. Wang, J.G. Li and H.R. Li: Passive sonar target recognition technology based on the modulation continuous spectrum feature extraction, Pattern Recognition and Artificial Intelligence (2002), in Chinese.

Google Scholar