@inproceedings{5f909f7689f54b2db8bd6aabf78890b3,
title = "Dynamic underwater sensor network for sparse field estimation",
abstract = "A coordinated dynamic network of autonomous underwater gliders to estimate 3D environmental sparse fields is proposed and tested. Field spatial sparsity is exploited in the estimation algorithm. Moreover field measurements are acquired by compressive sensing devices. Integration with a network of surface relay nodes and asynchronous consensus are used to distribute local information and achieve the global field estimate. Tests on simulated data demonstrate the feasibility of the approach with relative error performance within 10\%.",
keywords = "SAKF, consensus protocols, dynamic sensor network, random demodulator, underwater glider",
author = "Raffaele Grasso and Paolo Braca and Stefano Fortunati and Fulvio Gini and Greco, \{Maria S.\}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015 ; Conference date: 17-06-2015 Through 19-06-2015",
year = "2015",
month = nov,
day = "16",
doi = "10.1109/CoSeRa.2015.7330286",
language = "English",
series = "2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "169--173",
booktitle = "2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015",
}