2026-09-19T11:16:29Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/169412022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Thomas F. Knight and Kenneth M. Houston.
Ranger, Elliot Richard, 1978-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2005-05-19T15:22:15Z
2005-05-19T15:22:15Z
2003
2003
http://hdl.handle.net/1721.1/16941
53237410
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (p. 229-230).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
A low-power seismic detector and classifier was designed and implemented which was able to detect the footsteps of a person from as far as 35 meters away. Throughout the design an emphasis was placed on using low power circuitry and efficient algorithms. The test platform to demonstrate the concepts of the design utilizes a revolutionary low-power microcontroller and Digital Signal Processor (DSP) from Texas Instruments, Inc. The DSP is a fixed-point processor that is underclocked to minimize power consumption and the microcontroller has idle modes which consume microamps of power. The system is designed to run on battery power, and uses solar power to continually charge the batteries during the day. Lastly, a "Commercial Off the Shelf" RF module allows multiple sensors to communicate with themselves to triangulate position, or to relay detections and commands to and from a base station.
by Elliot Richard Ranger.
S.M.
230 p.
8977315 bytes
8976939 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Demonstration system for a low-power seismic detector and classifier
Thesis
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