Research of new concept sonar-cognitive sonar
Xiaohua Li , Yaan Li , Lin Cui , Wangsheng Liu
Journal of Marine Science and Application ›› 2011, Vol. 10 ›› Issue (4) : 502 -509.
Research of new concept sonar-cognitive sonar
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.
sonar / cognition / bat echolocation / cognitive sonar
| [1] |
|
| [2] |
Chitre M, Shahabudeen S (2008). Recent advances in underwater acoustic communications & networking. IEEE Journal of Oceanic Engineering, 1–10. |
| [3] |
|
| [4] |
Hagino T, Hiryu S (2007). Adaptive sonar sounds by echolocating bats. IEEE symposium on Underwater Technology and Workshop, 647–651. |
| [5] |
Haykin S (1990). Radar vision.IEEE International Conference on Radar, (4), 585–588. |
| [6] |
Haykin S (2003). Adaptive radar: Evolution to cognitive radar. IEEE International Symposium on Phased Array Systems and Technology, 613. |
| [7] |
|
| [8] |
Haykin S (2005b). Cognitive machines. IEEE International Workshop on Machine Intelligence & Sign. Proc, 28–30. |
| [9] |
Haykin S (2006a). Cognitive radar networks. IEEE SAM 2006 conference, Waltham, MA, 12–14. |
| [10] |
|
| [11] |
Haykin S (2007). Cognitive dynamic systems. IEEE International Conference on ASSP, (4), 369–1372. |
| [12] |
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. |
| [13] |
|
| [14] |
|
| [15] |
Li WC, Wei P, Xiao XC (2007). A novel simplex unscented transform and filter. IEEE International Symposium on Communications and Information Technologies, 926–931. |
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
Rhodes I (1971). A tutorial introduction to estimation and filtering. IEEE Trans. Autom. Control, AC-16, (6), 688–706. |
| [20] |
|
| [21] |
Villares J, Vazquez G (2004). The quadratic extend Kalman filter. IEEE Sensor Array and Multichannel, Signal Processing Workshop, 4–6. |
| [22] |
|
| [23] |
Wang Y (2002). On cognitive informatics. IEEE International Conference on Cognitive Informatics, 34–42. |
| [24] |
Wang Y (2006). Cognitive informatics: towards future generation computers that think and feel. IEEE International Conference on Cognitive Informatics, 3–7. |
| [25] |
|
| [26] |
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. |
| [27] |
|
/
| 〈 |
|
〉 |