Modeling and characteristic analysis of underwater acoustic signal of the accelerating propeller
Science China Information Sciences, ISSN: 1674-733X, Vol: 55, Issue: 2, Page: 270-280
2012
- 11Citations
- 5Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
The signal feature of propeller cavitation noise during acceleration or deceleration procedure can be used to passively detect and classify moving vessels and underwater vehicles in the port regions. By analyzing the chirp periodicity of the variation of propeller wake velocity under acceleration situation, this paper presents a time domain expression of the modulation envelope signal of the accelerating propeller noise, treating the signal as a Gaussian-shaped chirp periodic pulse train with increasing trend and fluctuating pulse amplitude. The paper investigates the characteristics of simplified fractional Fourier transform (SFRFT) spectrum of the chirp periodic signal, and thus obtains the relation between the chirp periodic signal and its chirp harmonics under the conditions of underwater passive detection. Furthermore, the experimental data of the cavitation tunnel satisfy the results obtained by simulation, which verifies the correctness of the proposed signal model. © 2011 Science China Press and Springer-Verlag Berlin Heidelberg.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84856229801&origin=inward; http://dx.doi.org/10.1007/s11432-011-4285-9; http://link.springer.com/10.1007/s11432-011-4285-9; https://dx.doi.org/10.1007/s11432-011-4285-9; https://link.springer.com/article/10.1007/s11432-011-4285-9; http://www.springerlink.com/index/10.1007/s11432-011-4285-9; http://www.springerlink.com/index/pdf/10.1007/s11432-011-4285-9
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know