ML source localization theory in an underwater wireless sensor array network

Authors:
Yan Ma;Yu Hen Hu
Affiliations:
College of Marine, Northwestern Polytechnical University, Xi'an, China;Dept. of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 2
Cited 0

Localization in underwater sensor networks: survey and challenges

WUWNet '06 Proceedings of the 1st ACM international workshop on Underwater networks
Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks

IEEE Transactions on Signal Processing

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Abstract

A novel underwater wireless sensor array network architecture is proposed. In this wireless sensor network, the maximum likelihood estimate of target location based on amplitude and phase of acoustic signatures is developed. Each local likelihood function can be partitioned into the amplitude and phase portion. For each sensor node is attached to a local sensor array which can performs maximum likelihood direction of arrival (DoA) locally. Global localization can combined with normalized LF and received target signal energy. Very promising simulation results demonstrated the feasibility of such a new approach for underwater wireless sensor network.