Research on Scattering Feature Extraction of Underwater Moving Cluster Targets Based on the Highlight Model

• Autorzy: Yang Yang , Fan Jun , Wang Bing

Identyfikatory

DOI

10.24425/aoa.2023.145235

• Języki publikacji: EN

Abstrakty

EN

In detecting cluster targets in ports or near-shore waters, the echo amplitude is seriously disturbed by interface reverberation, which leads to the distortion of the traditional target intensity characteristics, and the appearance of multiple targets in the same or adjacent beam leads to fuzzy feature recognition. Studying and extracting spatial distribution scale and motion features that reflect the information on cluster targets physics can improve the representation accuracy of cluster target characteristics. Based on the highlight model of target acoustic scattering, the target azimuth tendency is accurately estimated by the splitting beam method to fit the spatial geometric scale formed by multiple highlights. The instantaneous frequencies of highlights are extracted from the time-frequency domain, the Doppler shift of the highlights is calculated, and the motion state of the highlights is estimated. Based on the above processing method, target highlights’ orientation, spatial scale and motion characteristics are fused, and the multiple moving highlights of typical formation distribution in the same beam are accurately identified. The features are applied to processing acoustic scattering data of multiple moving unmanned underwater vehicles (UUVs) on a lake. The results show that multiple small moving underwater targets can be effectively recognized according to the highlight scattering characteristics.

Słowa kluczowe

EN

motion small cluster targets; feature fusion; azimuth trend scale; azimuth trend Doppler

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2023
• Tom: Vol. 48, No. 2
• Strony: 235--247
• Opis fizyczny: Bibliogr. 20 poz. fot., rys., wykr.

Twórcy

autor

Yang Yang

• Key Laboratory of Marine Intelligent Equipment and System of the Ministry of Education Shanghai Jiao Tong University Shanghai, China

autor

Fan Jun

• Key Laboratory of Marine Intelligent Equipment and System of the Ministry of Education Shanghai Jiao Tong University Shanghai, China

autor

Wang Bing

• Key Laboratory of Marine Intelligent Equipment and System of the Ministry of Education Shanghai Jiao Tong University Shanghai, China

Bibliografia

• 1. Boashash B. (1992), Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals, Proceedings of the IEEE, 80(4): 520-538, doi: 10.1109/5.135376.
• 2. Bouaynaya N., Charif-Chefchaouni M., Schonfeld D. (2008), Theoretical foundations of spatially variant mathematical morphology, Part I: Binary images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(5): 823-836, doi: 10.1109/TPAMI.2007.70754.
• 3. Chen Y.-F., Li G.-J., Wang Z.-S., Zhang M.-W., Jia B. (2013), Statistical feature of underwater target echo highlight [in Chinese], Acta Physica Sinica, 62(8): 084302, doi: 10.7498/aps.62.084302.
• 4. Hollett R.D., Kessel R.T., Pinto M. (2006), At-sea measurements of diver target strengths at 100 kHz: Measurement technique and first results, [in:] UDT-Europe 2006, Undersea Defence Technology Conference and Exhibition, Germany.
• 5. Huang Y.S. et al. (2020), Review on the development of diver detection sonar system [in Chinese], Journal of Unmanned Undersea Systems, 28(1): 1-8.
• 6. Jiang C.O., Xiang X.M. (2019), The analysis of the azimuth trend sequence distortion in the target scale identification [in Chinese], Acta Acustica, 38(2): 275-277.
• 7. Jiang L.J., Yang J., Xu F. (2009), Technological progress of diver detection sonar [in Chinese], Science in China Press, 54(3): 269-272.
• 8. Latif R., Aassif E., Moudden A., Faiz B. (2003), High-resolution time–frequency analysis of an acoustic signal backscattered by a cylindrical shell using a modified Wigner–Ville representation, Measurement Science and Technology, 14(7): 1063-1065, doi: 10.1088/0957-0233/14/7/322.
• 9. Li X.K., Li T.T., Gu X.Y. (2014), Array gain of fourth-order cumulants beamforming under typical probability density background [in Chinese], Acta Acustica, 39(5): 557-564, doi: 10.15949/j.cnki.0371-0025.2014.05.010.
• 10. Lo K.W., Ferguson B.G. (2004), Automatic detection and tracking of a small surface watercraft in shallow water using a high-frequency active sonar, IEEE Transactions on Aerospace and Electronic Systems, 40(4): 1377-1388, doi: 10.1109/TAES.2004.1386890.
• 11. Ma G.Q., Xu D.M., Wang X.X. (2004), A study of simulation for underwater target scale identification with the technique of target azimuth tendency [in Chinese], Ship Science and Technology, 26(3): 39-42.
• 12. Rodríguez M.A., San Emeterio J.L., Lázaro J.C., Ramos A. (2004), Ultrasonic flaw detection in NDE of highly scattering materials using wavelet and Wigner–Ville transform processing, Ultrasonics, 42(1–9): 847-851, doi: 10.1016/j.ultras.2004.01.063.
• 13. Ronse C., Najman L., Decencière E. [Eds.] (2005), Mathematical Morphology: 40 Years On. Proceedings of the 7th International Symposium on Mathematical Morphology, April 18-20, 2005, Springer Dordrecht.
• 14. Sabra K.G., Anderson S.D. (2014), Subspace array processing using spatial time-frequency distributions: Applications for denoising structural echoes of elastic targets, The Journal of the Acoustical Society of America, 135(5): 2821-2835, doi: 10.1121/1.4871183.
• 15. Sarangapani S., Miller J.H., Potty G.R., Reeder D.B., Stanton T.K., Chu D. (2005), Measurements and modeling of the target strength of diver, [in:] Europe Oceans 2005, 2: 952-956, doi: 10.1109/OCEANSE.2005.1513185.
• 16. Sheng X.L., Mu M.F., Yin J.W., Yang C., Liu T. (2020), Sparse decompositon-based estimation method of Doppler frequency shift of underwater moving target, Journal of Harbin Engineering University, 41(10): 1429-1435, doi: 10.11990/jheu.202007055.
• 17. Tang W.L. (1994), Highlight model of echoes from sonar targets, Acta Acustica, 19(2): 92-100.
• 18. Yang Y., Li X.-K. (2016), Blind source extraction based on time-frequency characteristics for underwater object acoustic scattering [in Chinese], Acta Physica Sinica, 65(16): 164301, doi: 10.7498/aps.65.164301.
• 19. Zhang Y.-M., Tong S. (2008), Tactics appliance of anti-diver technique in harbor defenses [in Chinese], Ship Science and Technology, 30(6): 168-171.
• 20. Zhou D.B., Yi H. (2004), A study of submarine target bearing trend measurement and target discrimination [in Chinese], Torpedo Technology, 12(4): 24-28.

Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023). (PL).