Behavior modelling and individual recognition of sonar transmitter for secure communication in UASNs
Article
Shi, F., Chen, Z. and Cheng, X. 2020. Behavior modelling and individual recognition of sonar transmitter for secure communication in UASNs. IEEE Access. 8, pp. 2447-2454. https://doi.org/10.1109/ACCESS.2019.2923059
| Type | Article |
|---|---|
| Title | Behavior modelling and individual recognition of sonar transmitter for secure communication in UASNs |
| Authors | Shi, F., Chen, Z. and Cheng, X. |
| Abstract | It is necessary to improve the safety of the underwater acoustic sensor networks (UASNs) since it is mostly used in the military industry. Specific emitter identification is the process of identifying different transmitters based on the radio frequency fingerprint extracted from the received signal. The sonar transmitter is a typical low-frequency radiation source and is an important part of the UASNs. Class D Power Amplifier, a typical non-linear amplifier, is usually used in sonar transmitters. The inherent nonlinearity of |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Journal | IEEE Access |
| ISSN | 2169-3536 |
| Publication dates | |
| Online | 14 Jun 2019 |
| 06 Jan 2020 | |
| Publication process dates | |
| Deposited | 17 Jun 2019 |
| Submitted | 29 Apr 2019 |
| Accepted | 21 May 2019 |
| Output status | Published |
| Accepted author manuscript | |
| Copyright Statement | (c) 2019 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See |
| Additional information | ESSN: 2169-3536 |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/ACCESS.2019.2923059 |
| Language | English |
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