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Proceedings Paper

Underwater source localization based on energy measurement with randomly distributed sensor array
Author(s): Xiaoling Chen; Ufuk Tureli
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Paper Abstract

In this paper, four underwater source location algorithms based on energy measurement using a randomly distributed sensor array are proposed. First, closed form of least squares (LS), total least squares (TLS) and constraint least squares (CLS) formulation for single source location are derived from the definition of energy ratio between different sensor readings. Then, the maximum likelihood estimation for multiple sources is presented and the alternating projection-multiresolution (APMR) algorithm is proposed to locate multiple sources. Simulation results show that our localization algorithms achieve good performance with high computational efficiency.

Paper Details

Date Published: 11 May 2007
PDF: 11 pages
Proc. SPIE 6562, Unattended Ground, Sea, and Air Sensor Technologies and Applications IX, 65620L (11 May 2007); doi: 10.1117/12.719748
Show Author Affiliations
Xiaoling Chen, Stevens Institute of Technology (United States)
Ufuk Tureli, Stevens Institute of Technology (United States)

Published in SPIE Proceedings Vol. 6562:
Unattended Ground, Sea, and Air Sensor Technologies and Applications IX
Edward M. Carapezza, Editor(s)

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