DocumentCode :
3030348
Title :
Passive Acoustic Sensor Network Time-Delay Probabilistic Localization Algorithm
Author :
Lin, Yuesong ; Wei Du ; Guo, Yunfei
Author_Institution :
Inst. of Inf. & Control, Hangzhou Dianzi Univ., Hangzhou, China
Volume :
3
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
407
Lastpage :
411
Abstract :
Target signal is measured by acoustic sensor with the character of time-delay and bearing-only. The problem of target locating and time-delay registration can be solved by composing sensor network. A passive acoustic sensor network time-delay probabilistic localization algorithm is presented in this paper. Firstly, two sensor measures can be chosen that intersection angle is closed to 90° to get initial position of the target. Depend on the initial position, time-delay registration is processed, and then the measure data is refreshed which intersection angle is closed to 90° to get new initial position estimation of the target. Finally, the new initial position is utilized to get more accurate estimation by probabilistic localization algorithm. The simulation results show that the algorithm has the performance of low calculation, real-time and high precision.
Keywords :
acoustic transducer arrays; delay estimation; object detection; probability; intersection angle; passive acoustic sensor network; position estimation; target location; time-delay probabilistic localization algorithm; time-delay registration; Acoustic measurements; Acoustic sensors; Acoustic signal detection; Aircraft; Frequency; Position measurement; Radar tracking; Sensor arrays; Sensor phenomena and characterization; Target tracking; acoustic sensor network; bearing-only; probabilistic localization; time-delay;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
Type :
conf
DOI :
10.1109/AICI.2009.275
Filename :
5376723
Link To Document :
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