|Table of Contents|

Citation:
 Xiaohua Li,Yaan Li,Lin Cui and Wangsheng Liu.Research of New Concept Sonar—Cognitive Sonar[J].Journal of Marine Science and Application,2011,(4):502-509.[doi:10.1007/s11804-011-1098-6]
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Research of New Concept Sonar—Cognitive Sonar

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Title:
Research of New Concept Sonar—Cognitive Sonar
Author(s):
Xiaohua Li Yaan Li Lin Cui and Wangsheng Liu
Affilations:
Author(s):
Xiaohua Li Yaan Li Lin Cui and Wangsheng Liu
College of Marine Engineering, Northwestern Ploytechnical University, Xi’an 710072, China
Keywords:
sonar cognition bat echolocation cognitive sonar
分类号:
-
DOI:
10.1007/s11804-011-1098-6
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.

References:

Arulampalam MS, Maskell S (2002). A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. on Signal Processing, 50(2), 174-188.
Chitre M, Shahabudeen S (2008). Recent advances in underwater acoustic communications & networking. IEEE Journal of Oceanic Engineering, 1-10.
Doucet A, Godsill SJ, Andreu C (2000). On sequential Monte Carlo sampling methods for Bayesian filtering. Statistics and Computing, 10(3), 197-208.
Hagino T, Hiryu S (2007). Adaptive sonar sounds by echolocating bats. IEEE symposium on Underwater Technology and Workshop,647 – 651.
Haykin S (1990). Radar vision.IEEE International Conference on Radar, (4), 585-588.
Haykin S (2003). Adaptive radar:Evolution to cognitive radar. IEEE International Symposium on Phased Array Systems and Technology, 613.
Haykin S (2005a). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201-218.
Haykin S (2005b). Cognitive machines. IEEE International Workshop on Machine Intelligence & Sign. Proc, 28-30.
Haykin S (2006a). Cognitive radar networks. IEEE SAM 2006 conference, Waltham, MA, 12-14.
Haykin S (2006b). Cognitive radar: a way of the future. IEEE Signal Processing Magazine, 23(1), 30-40.
Haykin S (2007). Cognitive dynamic systems. IEEE International Conference on ASSP, (4), 369-1372.
Julier SJ, Uhlmann JK (1997). A new extension of the Kalman filter to nonlinear systems. Department of Engineering Science, The University of Oxford, 66-76.
Julier SJ, Uhlmann JK (2004). Unscented filtering and nonlinear estimation. Proceedings of the IEEE, 92(3), 401–422.
Kalman RE (1960). A new approach to linear filtering and prediction problems. Transactions of the ASME - Journal of Basic Engineering, 82, 35-45.
Li WC, Wei P, Xiao XC (2007). A novel simplex unscented transform and filter. IEEE International Symposium on Communications and Information Technologies, 926-931.
Mitola J (1999). Cognitive ratio: making software radios more personal. IEEE Pers. Commun., 6(4), 13-18.
Paul C. Etter (2003). Underwater acoustic modeling and simulation. Spon press, London, New York.
Pheifer R, Scheier C (2001). Understanding intelligence. MIT press, Cambridge, MA.
Rhodes I (1971). A tutorial introduction to estimation and filtering. IEEE Trans. Autom. Control, AC-16, (6), 688–706.
Urick R J (1983). Principles of underwater sound. Peninsula Press, New York, McGraw-Hill.
Villares J, Vazquez G (2004). The quadratic extend Kalman filter. IEEE Sensor Array and Multichannel, Signal Processing Workshop, 4-6.
Waite AD (2002). Sonar for practicing engineers. John Wiley & Sons Inc Press, Chichester.
Wang Y (2002). On cognitive informatics. IEEE International Conference on Cognitive Informatics, 34-42.
Wang Y (2006). Cognitive informatics: towards future generation computers that think and feel. IEEE International Conference on Cognitive Informatics, 3-7.
Wang Y(2007). The theoretical framework of cognitive informatics. Int’l Journal of Cognitive Informatics and Natural Intelligence, 1(1), 1-27.
Wenhua Li, Genshe Chen, Blasch E, Lynch R (2009). Cognitive MIMO sonar based robust target detection for harbor and maritime surveillance applications. IEEE International Conference on Aerospace, 1-9.
Yuan T (2010). Sonar technology. Harbin Engineering University Press, Harbin.

Memo

Memo:
Supported by Research Foundation of Shaanxi Province Returned Overseas Students No.SLZ2008006.
Last Update: 2011-11-28