Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/96974
Title: | Performance study of vertical acoustic vector sensor array based 3-D position tracking in a shallow ocean environment | Authors: | Zhong, Xionghu Madadi, Zahra Premkumar, Annamalai Benjamin |
Keywords: | DRNTU::Engineering::Computer science and engineering | Issue Date: | 2012 | Source: | Zhong, X., Madadi, Z., & Premkumar, A. B. (2012). Performance study of vertical acoustic vector sensor array based 3-D position tracking in a shallow ocean environment. 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA). | Conference: | International Conference on Information Sciences, Signal Processing and their Applications (11th : 2012 : Montreal, Canada) | Abstract: | This paper considers the problem of tracking an acoustic sources in three dimensional (3-D) space by using a vertical acoustic vector sensor (AVS) array in a shallow ocean environment. The innovations of this work are double fold: 1) a particle filtering (PF) approach is developed to track the position of an acoustic source; and 2) based on the source motion and wave propagation models, the posterior Cramér-Rao bound (PCRB) is derived to provide a lower performance bound of 3-D position tracking in shallow ocean. The PF approach uses a number of samples to approximate the posterior distribution of interested parameters, by which a complex 3-D search can be avoided for 3-D position estimation. Also, due to incorporating both the source dynamic and measurement information, the tracking approach is able to provide a lower performance bound than the traditional localization approach. The tracking performance is further demonstrated by numerical experiments. | URI: | https://hdl.handle.net/10356/96974 http://hdl.handle.net/10220/13119 |
DOI: | 10.1109/ISSPA.2012.6310469 | Schools: | School of Computer Engineering | Rights: | © 2012 IEEE. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | SCSE Conference Papers |
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