Detection Range Prediction of Passive Sonar in Shallow-water Area Based on the HMG Method

GAO Fei; PAN Chang-ming; LI Sheng-quan; SUN Lei; CHEN Fu-sen

doi:10.11993/j.issn.1673-1948.2016.03.004

Volume 24 Issue 3

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Article Navigation > Journal of Unmanned Undersea Systems > 2016 > 24(3): 177-183

GAO Fei, PAN Chang-ming, LI Sheng-quan, SUN Lei, CHEN Fu-sen. Detection Range Prediction of Passive Sonar in Shallow-water Area Based on the HMG Method[J]. Journal of Unmanned Undersea Systems, 2016, 24(3): 177-183. doi: 10.11993/j.issn.1673-1948.2016.03.004

Citation:

GAO Fei, PAN Chang-ming, LI Sheng-quan, SUN Lei, CHEN Fu-sen. Detection Range Prediction of Passive Sonar in Shallow-water Area Based on the HMG Method[J]. Journal of Unmanned Undersea Systems, 2016, 24(3): 177-183. doi: 10.11993/j.issn.1673-1948.2016.03.004

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Detection Range Prediction of Passive Sonar in Shallow-water Area Based on the HMG Method

doi: 10.11993/j.issn.1673-1948.2016.03.004

1.
Naval Institute of Hydrographic Surveying and Charting, Tianjin 300061, China
2.
College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China

Received Date: 2016-02-29
Rev Recd Date: 2016-04-21
Publish Date: 2016-06-20

Abstract

Abstract

A research is conducted by combining experiment data and simulation model based on the hydrology meteor-ology geology(HMG) method to evaluate the influence of the underwater acoustic environment effect on sonar detection range. Firstly, the HMG prediction theory is discussed based on the sonar equation, and a sonar parameters combination expression is proposed. Then, the ocean environment background field is constructed combining with shallow-water acoustic survey in the East China Sea, and its acoustic parameters distribution of the water and boundary are analyzed. Finally, the Kraken’s numerical acoustic transmission model and the empirical model of wind-generated noise are verified with measured data, and the passive sonar detection range is simulated for different wind speeds and sound speed profiles with the HMG method. The results show that: 1) the HMG method can simulate the effect of the underwater acoustic environment effect on sonar detection range; 2) the transmission loss and ambient noise increase with wind speed at sea surface, which decreases the sonar detection range; and 3) the sound speed profile influences detection range by affecting acoustic boundary loss, and the detection range gets the biggest in vertically uniform sound speed environment. This research may provide a reference for the underwater passive sonar detection and the stealth of an underwater vehicle.

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References(42)

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Detection Range Prediction of Passive Sonar in Shallow-water Area Based on the HMG Method

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