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Adaptive Noise Reduction Techniques for Airborne Acoustic Sensors

Fuller, Ryan Michael
http://rave.ohiolink.edu/etdc/view?acc_num=wright1355361066

Abstract Details

2012, Master of Science in Engineering (MSEgr), Wright State University, Electrical Engineering.
Ground and marine based acoustic arrays are currently employed in a variety of military and civilian applications for the purpose of locating and identifying sources of interest. An airborne acoustic array could perform an identical role, while providing the ability to cover a larger area and pursue a target. In order to implement such a system, steps must be taken to attenuate environmental noise that interferes with the signal of interest. In this thesis, we discuss the noise sources present in an airborne environment, present currently available methods for mitigation of these sources, and propose the use of adaptive noise cancellation techniques for removal of unwanted wind and engine noise. The least mean squares, affine projection, and extended recursive least squares algorithms are tested on recordings made aboard an airplane in-flight, and the results are presented. The algorithms provide upwards of 37dB of noise cancellation, and are able to filter the noise from a chirp with a signal to noise ratio of -20db with minimal mean square error. The experiment demonstrates that adaptive noise cancellation techniques are an effective method of suppressing unwanted acoustic noise in an airborne environment, but due to the complexity of the environment more sophisticated algorithms may be warranted.
Brian Rigling, PhD (Committee Chair)
Kefu Xue, PhD (Committee Member)
Fred Garber, PhD (Committee Member)
79 p.
Acoustics; Aerospace Engineering; Applied Mathematics; Electrical Engineering; Engineering; Remote Sensing
Adaptive Noise Cancellation; Adaptive Algorithms; Acoustic Sensors; Acoustic Eavesdropping; UAV; Unmanned Aerial Vehicle; Active Noise Reduction; Remote Sensing; Signal Processing; Acoustics

Recommended Citations

Citations

  • Fuller, R. M. (2012). Adaptive Noise Reduction Techniques for Airborne Acoustic Sensors [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1355361066

    APA Style (7th edition)

  • Fuller, Ryan. Adaptive Noise Reduction Techniques for Airborne Acoustic Sensors. 2012. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1355361066.

    MLA Style (8th edition)

  • Fuller, Ryan. "Adaptive Noise Reduction Techniques for Airborne Acoustic Sensors." Master's thesis, Wright State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1355361066

    Chicago Manual of Style (17th edition)

wright1355361066
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© 2012, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.