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Sensors 2013, 13(9), 11314-11335; doi:10.3390/s130911314
Article

Lightweight Filter Architecture for Energy Efficient Mobile Vehicle Localization Based on a Distributed Acoustic Sensor Network

Received: 28 June 2013; in revised form: 20 August 2013 / Accepted: 20 August 2013 / Published: 23 August 2013
(This article belongs to the Section Physical Sensors)
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Abstract: The generic properties of an acoustic signal provide numerous benefits for localization by applying energy-based methods over a deployed wireless sensor network (WSN). However, the signal generated by a stationary target utilizes a significant amount of bandwidth and power in the system without providing further position information. For vehicle localization, this paper proposes a novel proximity velocity vector estimator (PVVE) node architecture in order to capture the energy from a moving vehicle and reject the signal from motionless automobiles around the WSN node. A cascade structure between analog envelope detector and digital exponential smoothing filter presents the velocity vector-sensitive output with low analog circuit and digital computation complexity. The optimal parameters in the exponential smoothing filter are obtained by analytical and mathematical methods for maximum variation over the vehicle speed. For stationary targets, the derived simulation based on the acoustic field parameters demonstrates that the system significantly reduces the communication requirements with low complexity and can be expected to extend the operation time considerably.
Keywords: mobile vehicle localization; energy-based source localization; wireless sensor network; envelope detector; exponential smoothing filter; acoustic source localization; velocity vector estimator mobile vehicle localization; energy-based source localization; wireless sensor network; envelope detector; exponential smoothing filter; acoustic source localization; velocity vector estimator
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Kim, K. Lightweight Filter Architecture for Energy Efficient Mobile Vehicle Localization Based on a Distributed Acoustic Sensor Network. Sensors 2013, 13, 11314-11335.

AMA Style

Kim K. Lightweight Filter Architecture for Energy Efficient Mobile Vehicle Localization Based on a Distributed Acoustic Sensor Network. Sensors. 2013; 13(9):11314-11335.

Chicago/Turabian Style

Kim, Keonwook. 2013. "Lightweight Filter Architecture for Energy Efficient Mobile Vehicle Localization Based on a Distributed Acoustic Sensor Network." Sensors 13, no. 9: 11314-11335.



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