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Detection of Small Aircraft using an Acoustic Array

Zelnio, Anne M.

Abstract Details

2009, Master of Science in Engineering (MSEgr), Wright State University, Electrical Engineering.
Detection of small aircraft visually or with radar sensors is difficult due to its small size, low-velocity, and low radar cross section. This effort investigates the detection and localization of small aircraft using an acoustic array. The acoustic array was fabricated using low-cost commercial off-the shelf (COTS) hardware that is mobile and can adapt to different signatures and deployment environments. A cross-correlation method for calibration and delay-and-sum beamforming was performed. A generalized likelihood ratio test (GLRT)-based energy detector and a GLRT-based sinusoidal signal detector was applied after beamforming. Detection was also performed using various subpace adaptive beamforming techniques including MUSIC, min-norm, and SSMUSIC which first performed sinusoidal filtering followed by adaptive beamforming. Constant false alarm rate (CFAR) detectors were used to compare all algorithms.
Brian Rigling, PhD (Advisor)
Fred Garber, PhD (Committee Member)
Mike Bryant, PhD (Committee Member)
55 p.

Recommended Citations

Citations

  • Zelnio, A. M. (2009). Detection of Small Aircraft using an Acoustic Array [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1247075795

    APA Style (7th edition)

  • Zelnio, Anne. Detection of Small Aircraft using an Acoustic Array. 2009. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1247075795.

    MLA Style (8th edition)

  • Zelnio, Anne. "Detection of Small Aircraft using an Acoustic Array." Master's thesis, Wright State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=wright1247075795

    Chicago Manual of Style (17th edition)