Paper
11 May 2007 Underwater source localization based on energy measurement with randomly distributed sensor array
Xiaoling Chen, Ufuk Tureli
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaoling Chen and Ufuk Tureli "Underwater source localization based on energy measurement with randomly distributed sensor array", Proc. SPIE 6562, Unattended Ground, Sea, and Air Sensor Technologies and Applications IX, 65620L (11 May 2007); https://doi.org/10.1117/12.719748
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Sensors

Data modeling

Source localization

Signal to noise ratio

Bromine

Computer simulations

Acoustics

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