Work place: College of Underwater Acoustics Engineering, Harbin Engineering University ,Harbin,China
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Research Interests: Computational Science and Engineering, Computational Engineering, Engineering
Biography
Jianan Ma was born in Harbin, in 1984. She received the MS degree at underwater acoustics engineering college from Harbin engineering university ,china, in 2010.
She is currently a PHD candidate at the underwater acoustics engineering college from Harbin engineering university. She research interests include detecting underwater signal, damping vibration and reducing noise.
By Desen Yang Xiaoxia Guo Shengguo Shi Jianan Ma
DOI: https://doi.org/10.5815/ijisa.2011.02.02, Pub. Date: 8 Mar. 2011
To effectively solve the problem of rapid measurement and recognition about large underwater sound source, continuous scanning is applied to measure the large underwater sound source. The theory of sound source recognition based on mobile framework technology (FAH)nd Helmholtz equation least squares method (HELS)s investigated. Combination of acoustic holography method based on MFAH and HELS is created and verified through simulation and basin test. The study shows that combination algorithm can accurately identify all kinds of underwater source and obtain a high positioning accuracy of the noise source, and can be used for a wide frequency range; when there are multiple coherent sound sources in the complex sound field, noise source identification and location only requires that an array holographic measurement surface is 1.3 times for the reconstruction surface. Using a small measuring surface to quickly identify large underwater sound source is achieved. The shortcomings of workload and time-consuming in the traditional measurement are resolved. And it provides convenience for engineering applications.
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