DocumentCode
535986
Title
Research on an Intensive Coherent Interference Suppression Method of the Autonomous Underwater Vehicle Acoustic System
Author
Sheng, Xueli ; Luo, Fangfang ; Guo, Yong ; Jia, Xiaowu
Author_Institution
Coll. of Underwater Acoust. Eng., Harbin Eng. Univ., Harbin, China
Volume
2
fYear
2010
fDate
23-24 Oct. 2010
Firstpage
199
Lastpage
202
Abstract
Time reversal mirror technology is a new method of localization, which may be applied to target detection and localization effectively. Intensive coherent interference will conduct the autonomous underwater vehicle focus on the strong interference and reduce the detection probability. This paper brings out time reversal passive shielding and focusing (TRPSF) method with two vector-sensors´ vertical array, which sets the zero point at the position of strong interference. By a micro-sized array, autonomous underwater vehicle can not only overcome strong interference at a certain place of its stern by TRPSF technology, but also refocus the signal energy in its original area. The using of TRPSF can enhance the detection probability and locate the weak target without detecting blind area. Simulations and experiment in the pond results prove its feasibility and practicality.
Keywords
interference suppression; probability; underwater acoustic communication; underwater vehicles; TRPSF technology; autonomous underwater vehicle acoustic system; detection probability; intensive coherent interference suppression method; target detection; target localization; time reversal mirror technology; time reversal passive shielding and focusing method; vector-sensor vertical array; Arrays; Focusing; Interference; Mirrors; Noise; Receivers; System-on-a-chip; autonomous underwater vehicle; passive location; shielding and focusing; time reversal mirror; vector array;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-8432-4
Type
conf
DOI
10.1109/AICI.2010.164
Filename
5656133
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