Underwater acoustic target ranging method based on feature extraction and neural network
US12038491B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 24, 2020 |
| Grant date | Jul 16, 2024 |
| Priority date | — |
| Expiry date | Aug 4, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
The present invention provides an underwater acoustic target ranging method based on feature extraction and a neural network, including: acquiring underwater acoustic signals transmitted by an underwater acoustic target at different distances, dividing data by seconds, and using data of one second as one sample; performing framing on each sample; and separately calculating a zero-crossing rate of a time domain waveform, the second, fifth, and eighth coefficients of MFCC, a spectral centroid, a spectral skewness, a spectral entropy, and a spectral sharpness for each frame of data of each sample. In the underwater acoustic target ranging method based on feature extraction and a neural network provided in the present invention, the received underwater acoustic signal data is directly processed, so that the real-time performance is high and the reaction speed is fast.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.