Abstract
The performance of a sonar system is closely related to the marine environment and the target characteristics. When dealing with the echoes of a traditional active sonar system, the sonar designers often do not take into account the influence of the environmental information and prior knowledge perceived by sonar receivers, making it difficult to obtain desired processing results. Based on the basic principle and key technology of sonar, this paper proposed a cognition-based intelligent sonar system in theory—cognitive sonar. Cognitive sonar is capable of jointly optimizing the transmission waveform and receiver according to the changes of environment so that its detection and identification performance can be significantly improved.
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Foundation item: Supported by Research Foundation of Shaanxi Province Returned Overseas Students No.SLZ2008006.
Xiaohua Li was born in 1986. He is presently a PhD candidate for acoustics at College of Marine Engineering, Northwestern Ploytechnical University. His current research interests include Underwater Acoustic Signal and Information Processing and target tracking.
Yaan Li was born in 1961. He is a professor and a PhD supervisor at Northwestern Polytechnical University. His research interests are focused on acoustic signal and information processing, nonlinear dynamic modeling and information extraction.
Lin Cui was born in 1984. She is a PhD. of Northwestern Polytechnical University. She is currently working with underwater signal processing. Her main research is robust array beamforming techniques.
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Li, X., Li, Y., Cui, L. et al. Research of new concept sonar-cognitive sonar. J. Marine. Sci. Appl. 10, 502–509 (2011). https://doi.org/10.1007/s11804-011-1098-6
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DOI: https://doi.org/10.1007/s11804-011-1098-6