Acoustic and seismic signal processing for footsetp detection
Name
79629647-MIT.pdf
Description
Full printable version
Size
18.58 MB
Format
Adobe PDF
Checksum (MD5)
5b58773831b9bb8122f301c3cc803c5d
Author(s)
Bland, Ross E. (Ross Edward)
Advisor(s)
Charles E. Rohrs.
Date Issued
2006
Publisher
Massachusetts Institute of Technology
Abstract
The problem of detecting footsteps using acoustic and seismic sensors is approached from three different angles in this thesis. First, accelerometer data processing systems are designed to make footsteps more apparent to a human operator listening to accelerometer recordings. These systems work by modulating footstep signal energy into the ear's most sensitive frequency bands. Second, linear predictive modeling is shown to be an effective means to detect footsteps in accelerometer and microphone data. The time evolution of the third order linear prediction coefficients leads to the classical binary hypothesis testing framework. Lastly, a new method for blindly estimating the filters of a SIMO channel is presented. This method is attractive because it allows for a more tractable performance analysis.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (leaves 83-84).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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