Multisensor Processing Algorithms for Underwater Dipole Localization and Tracking Using MEMS Artificial Lateral-Line Sensors
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An engineered artificial lateral-line system has been recently developed, consisting of a 16-element array of finely spaced MEMS hot-wire flow sensors. This represents a new class of underwater flow sensing instruments and necessitates the development of rapid, efficient, and robust signal processing algorithms. In this paper, we report on the development and implementation of a set of algorithms that assist in the localization and tracking of vibrational dipole sources underwater. Using these algorithms, accurate tracking of the trajectory of a moving dipole source has been demonstrated successfully.
KeywordsInformation Technology Signal Processing Quantum Information Processing Algorithm Flow Sensor
- 1.Coombs S: Nearfield detection of dipole sources by the goldfish (Carassius auratus) and the mottled sculpin (Cottus bairdi). Journal of Experimental Biology 1994, 190: 109–129.Google Scholar
- 2.Liu C: Progress in MEMS and micro systems research. Proceedings of the IMAPS/ACerS 1st International Conference and Exhibition on Ceramic Microsystems Technologies (CICMT '05), April 2005, Baltimore, Md, USAGoogle Scholar
- 3.Liu C: Foundations of MEMS. Pearson Education, Upper Saddle River, NJ, USA; 2006.Google Scholar
- 8.Engel J, Chen J, Wang X, Fan Z, Liu C, Jones DL: Technology development of integrated multi-modal and flexible tactile skin for robotics applications. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '03), October 2003, Las Vegas, Nev, USA 3: 2359–2364.Google Scholar
- 13.Engel J, Chen J, Chen N, Pandya S, Liu C: Development and characterization of an artificial hair cell based on polyurethane elastomer and force sensitive resistors. Proceedings of the 4th IEEE International Conference on Sensors, October–November 2005, Irvine, Calif, USAGoogle Scholar
- 14.Engel J, Chen J, Liu C: Polymer-based MEMS multi-modal sensory array. Proceedings of the 226th National Meeting of the American Chemical Society (ACS '03), September 2003, New York, NY, USAGoogle Scholar
- 15.Chen J, Engel J, Chang M, Liu C: 3D out-of-plane flow sensor array with integrated circuits. Proceedings of the 18th European Conference on Solid-State Transducers (Eurosensors XVI), September 2004, Rome, ItalyGoogle Scholar
- 16.Chen J, Engel J, Chen N, Liu C: A monolithic integrated array of out-of-plane hot-wire flow sensors and demonstration of boundary-layer flow imaging. Proceedings of the 18th IEEE International Conference on Micro Electro Mechanical Systems (MEMS '05), January-February 2005, Miami Beach, Fla, USA 299–302.Google Scholar
- 18.Chen J, Fan Z, Engel J, Liu C: Towards modular integrated sensors: the development of artificial haircell sensors using efficient fabrication methods. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '03), October 2003, Las Vegas, Nev, USA 3: 2341–2346.Google Scholar
- 20.Chen J, Zou J, Liu C: A surface micromachined, out-of-plane anemometer. Proceedings of the 15th IEEE International Conference on Micro Electro Mechanical Systems (MEMS '02), January 2002, Las Vegas, Nev, USA 332–335.Google Scholar
- 25.Coombs S: Dipole 3D user guide. Loyola University, Chicago, Ill, USA, Internal Report and User Guide, 2003Google Scholar
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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://doi.org/creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.