Dr. Henry R. Sebesta Profile

Dr. Henry R. Sebesta

Chief Scientist (Retired) at BlueHalo

SPIE Involvement:

Author

Proceedings Article | 7 July 2000 Paper

Magnetohydrodynamic inertial reference system

Dan Eckelkamp-Baker, Henry Sebesta, Kevin Burkhard

Proceedings Volume 4025, (2000) https://doi.org/10.1117/12.391671

KEYWORDS: Sensors, Motion models, Mirrors, Control systems, Actuators, Electronics, Servomechanisms, Signal attenuation, Systems modeling, Performance modeling

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Proceedings Article | 15 July 1999 Paper

Ground support equipment (GSE) for testing precision ATP payloads

Henry Sebesta, Gary DeMuth, Michael Dillow, Martin Rost, Darren Laughlin

Proceedings Volume 3692, (1999) https://doi.org/10.1117/12.352848

KEYWORDS: Acquisition tracking and pointing, Laser marking, Line of sight stabilization, Sensors, Missiles, Image processing, Cameras, Laser stabilization, Signal to noise ratio, Mirrors

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Proceedings Article | 8 September 1998 Paper

Integration and test processes for precision ATP payload

Henry Sebesta, Joe Krainiak, David Baughman, Michael Dillow, Aaron Birenboim, T. McKechnie

Proceedings Volume 3381, (1998) https://doi.org/10.1117/12.323936

KEYWORDS: Acquisition tracking and pointing, Missiles, Line of sight stabilization, Mirrors, Laser marking, Sensors, Control systems, Fiber optic illuminators, Cameras, Software development

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Proceedings Article | 23 June 1997 Paper

ATP system target for performance scoring

Timothy Tamerler, James Dowling, Michael Dillow, Henry Sebesta

Proceedings Volume 3086, (1997) https://doi.org/10.1117/12.277192

KEYWORDS: Sensors, Data acquisition, Electronics, Control systems, Relays, Telecommunications, Target detection, Laser marking, Laser systems engineering, Analog electronics

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Proceedings Article | 1 September 1990 Paper

Advanced testing methods for acquisition, tracking, and pointing

Henry Sebesta

Proceedings Volume 1304, (1990) https://doi.org/10.1117/12.2322213

KEYWORDS: Data acquisition, Optical transfer functions, Mirrors, Autocollimators, Interference (communication), Servomechanisms, Error analysis, Defense technologies, Relays, Defense and security

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The technology of testing to determine system level performance of tracking and pointing systems has evolved in recent years. Modern multichannel data acquisition, processing, and analysis systems have allowed development of new test methods that significantly increase our ability to understand and quantify system performance and the sources of performance limitations. Pointing and tracking systems control the inertial orientation of a variety of critical payloads in applications such as weapons delivery, surveillance, target discrimination, missile guidance, communication, gunnery, directed energy systems, and many others. In systems with stringent performance requirements, it is necessary to accurately identify, measure, and account for test environment effects and associated induced disturbances on the errors of the pointing and tracking system.

The keys to the improved approach to testing complex pointing and tracking systems are the coherence analysis algorithms developed in recent years by Dr. Julius Bendat et a!. The underlying concept is that all environmental and test induced disturbances are instrumented and simultaneously recorded with the signals that characterize the pointing and tracking system performance. The hypothesis on which data analysis is predicated is that a set of measured disturbances (or inputs) accounts for the measured performance error (output). The coherence analysis algorithms permit the test analyst to break up the performance signal into components caused by each of the input paths and to quantify that part of the performance not allocatable to any of the measured disturbances.

The authors have exploited the coherence analysis methods to accurately characterize the tracking and stabilization performance of equipment being prepared for a space experiment. The environment in the ground test facilities is significantly different from that expected in the space environment and would have obscured the true system performance. Therefore, vibration signals acquired on a high bandwidth, simultaneous data collection computer were analyzed using the multiple input coherence analysis algorithm to accurately determine influences of each disturbance input on the performance. This paper presents a tutorial on the advanced testing methodology and illustrates how significant testing challenges were addressed. The ability to confirm the adequacy of the system performance would not be possible without the use of the advanced tools. The techniques are applicable to system level performance testing of a broad range of complex pointing and tracking systems.

Conference Committee Involvement (5)

Acquisition, Tracking, Pointing, and Laser Systems Technologies XXI

9 April 2007 | Orlando, Florida, United States

Acquisition, Tracking, and Pointing XX

18 April 2006 | Orlando (Kissimmee), Florida, United States

Acquisition, Tracking, and Pointing XIX

29 March 2005 | Orlando, Florida, United States

Acquisition, Tracking, and Pointing XVIII

14 April 2004 | Orlando, Florida, United States

Acquisition, Tracking, and Pointing XVII

22 April 2003 | Orlando, Florida, United States

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