A Distance and Velocity Estimation Method for Sound Source Based on Interference Field Matching

GAO Yuan; ZHOU Shengzeng

doi:10.11999/JEIT210484

Volume 44 Issue 8

Aug. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(8): 2893-2902

GAO Yuan, ZHOU Shengzeng. A Distance and Velocity Estimation Method for Sound Source Based on Interference Field Matching[J]. Journal of Electronics & Information Technology, 2022, 44(8): 2893-2902. doi: 10.11999/JEIT210484

Citation:

GAO Yuan, ZHOU Shengzeng. A Distance and Velocity Estimation Method for Sound Source Based on Interference Field Matching[J]. Journal of Electronics & Information Technology, 2022, 44(8): 2893-2902. doi: 10.11999/JEIT210484

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A Distance and Velocity Estimation Method for Sound Source Based on Interference Field Matching

doi: 10.11999/JEIT210484

GAO Yuan^,,
ZHOU Shengzeng

1.
Shanghai Marine Electronic Equipment Research Institute, Shanghai 201108, China
2.
Science and Technology on Underwater Acoustics Antagonizing Laboratory , Shanghai 201108, China

Received Date: 2021-05-28
Rev Recd Date: 2022-03-21

Available Online: 2022-04-14

Publish Date: 2022-08-17

Abstract

Abstract

Moving target in shallow sea environment can generate stable interference sound field, which contains information such as target distance and velocity.In this paper, a method of passive distance and velocity estimation based on moving target interference sound field is proposed. First, the interference phenomenon and structure characteristics in shallow sea waveguide are analyzed theoretically, and the focusing principle of matching interference field method is deduced. Then, the time-frequency interference field of the moving target is transformed into range-frequency interference field which is related to the target range and velocity, and the distance and velocity of the target are estimated simultaneously by correlative processing with the copy sound field. Further, the value distance performance of the algorithm and the influence of sea depth, sound velocity profile, sea surface and other sound field parameters on the value distance performance are investigated through simulation, and the simulation conclusion of the algorithm tolerance is given. At last, the validity of the algorithm is verified by the data of practical target at sea.
- Matching interference field,
- Passive estimation distance,
- Velocity estimation,
- Interference structure

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References(21)

References

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