Skip to Main Content
 

Global Search Box

 
 
 
 

ETD Abstract Container

Abstract Header

OPTIMIZED TIME-FREQUENCY CLASSIFICATION METHODS FOR INTELLIGENT AUTOMATIC JETTISONING OF HELMET-MOUNTED DISPLAY SYSTEMS

ALQADAH, HATIM FAROUQ

Abstract Details

2007, MS, University of Cincinnati, Engineering : Electrical Engineering.
Helmet-Mounted Display Systems (HMDS) improve the effectiveness of air force pilots in combat. The embedded display systems provide the pilot with vital aircraft information, “look and shoot” weapon cueing systems, as well as night vision capability. However the increased weight and shift in center of gravity due to these systems significantly contribute to the probability of a neck injury to the pilot during the event of an ejection or crash. The Air Force Research Laboratory (AFRL) developed a mechanical system to automatically release the HMDS based on measured acceleration/force to the head. However the acceleration/force measurements during a pilot’s normal air combat maneuvering (ACM) can be near peak accelerations seen during a crash or ejection. The acceleration signals measured from the two environments can be modeled as non-stationary random signals with time-varying and unknown statistics. Time-frequency distributions have been shown to be an effective tool in the analysis and classification of non-stationary signals. In this thesis we present two basic approaches to the optimization of time-frequency distributions with the objective of classifying between a set of non-stationary signals. The approaches are independent of any statistical model of the environments. Experimental results are based on real-life data supplied by the AFRL.
Dr. Howard Fan (Advisor)
90 p.

Recommended Citations

Citations

  • ALQADAH, H. F. (2007). OPTIMIZED TIME-FREQUENCY CLASSIFICATION METHODS FOR INTELLIGENT AUTOMATIC JETTISONING OF HELMET-MOUNTED DISPLAY SYSTEMS [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1185838368

    APA Style (7th edition)

  • ALQADAH, HATIM. OPTIMIZED TIME-FREQUENCY CLASSIFICATION METHODS FOR INTELLIGENT AUTOMATIC JETTISONING OF HELMET-MOUNTED DISPLAY SYSTEMS. 2007. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1185838368.

    MLA Style (8th edition)

  • ALQADAH, HATIM. "OPTIMIZED TIME-FREQUENCY CLASSIFICATION METHODS FOR INTELLIGENT AUTOMATIC JETTISONING OF HELMET-MOUNTED DISPLAY SYSTEMS." Master's thesis, University of Cincinnati, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1185838368

    Chicago Manual of Style (17th edition)