Mr. Jefferson E. Odhner Profile

Jefferson E. Odhner

President

SPIE Involvement:

Author

Area of Expertise:

Holography , Interferometry , Fiber optic Sensors , Rayleigh Backscattering in fiber , IR imaging , Lens design

Websites:

Company Website

Jeff Odhner graduated from Ohio State University with a BSEE and the University of Central Florida with an MSEE. He has over 25 years experience in the design and building of electro-optical systems with a career that centered on laser, sensor, and night vision systems. He founded Odhner Holographics in 1983 and continues to operate it part time until 2012 at which time it became a full time business. His career started at a small laser measurement company in Columbus, Ohio. From there he went to Martin Marietta (Lockheed Martin), Westinghouse Electro-Optics (Northrop Grumman) and Sanders Corporation (BAE Systems) designing, building and testing a wide variety of laser and electro-optic sensor systems from UV to the far-IR. At Corning Intellisense, a MEMS company concentrating on telecommunications, he designed and built test stations for evaluating micro-mirror arrays and other MEMS based products. As a senior principal electro-optics systems engineer in the Advanced Technology Group at BAE Systems in Merrimack, New Hampshire, he worked on a space based laser radar, satellite communication systems, and fiber pumped IR lasers. His last employer was Optics 1 where he brought in contract money to support his invention of a long range gunfire ID and position sensor. One of his more notable accomplishments is that Mr. Odhner is the father of two lovely and talented children.

Proceedings Article | 27 July 2016 Paper

Holographic telescope

Jefferson Odhner

Proceedings Volume 9906, 99063I (2016) https://doi.org/10.1117/12.2234469

KEYWORDS: Telescopes, Holography, Optical design, Lenses, Optical instrument design, Holograms, Holographic optical elements, Collimation, Chromatic aberrations, Reflection

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Holographic optical elements (HOEs) work on the principal of diffraction and can in some cases replace conventional optical elements that work on the principal of refraction. An HOE can be thinner, lighter, can have more functionality, and can be lower cost than conventional optics. An HOE can serve as a beam splitter, spectral filter, mirror, and lens all at the same time. For a single wavelength system, an HOE can be an ideal solution but they have not been widely accepted for multispectral systems because they suffer from severe chromatic aberration. A refractive optical system also suffers from chromatic aberration but it is generally not as severe. To color correct a conventional refractive optical system, a flint glass and a crown glass are placed together such that the color dispersion of the flint and the crown cancel each other out making an achromatic lens (achromat) and the wavelengths all focus to the same point. The color dispersion of refractive lenses and holographic lenses are opposite from each other. In a diffractive optical system, long wavelengths focus closer (remember for HOEs: RBM “red bends more”) than nominal focus while shorter wavelengths focus further out. In a refractive optical system, it is just the opposite. For this reason, diffractives can be incorporated into a refractive system to do the color correction and often cut down on the number of optical elements used [1.]. Color correction can also be achieved with an all-diffractive system by combining a holographic optical element with its conjugate. In this way the color dispersion of the first holographic optical element can be cancelled by the color dispersion of the second holographic optic. It is this technique that will be exploited in this paper to design a telescope made entirely of holographic optical elements. This telescope could be more portable (for field operations) the same technique could be used to make optics light enough for incorporation into a UAV.

Proceedings Article | 26 September 2007 Paper

An accurate modeling, simulation, and analysis tool for predicting and estimating Raman LIDAR system performance

Robert Grasso, Leonard Russo, John Barrett, Jefferson Odhner, Paul Egbert

Proceedings Volume 6681, 66810D (2007) https://doi.org/10.1117/12.734504

KEYWORDS: Raman spectroscopy, Raman scattering, Molecules, LIDAR, Nitrogen, Signal to noise ratio, Scattering, Atmospheric modeling, Performance modeling, Data modeling

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Proceedings Article | 21 October 2005 Paper

A novel low-cost targeting system (LCTS) based upon a high-resolution 2D imaging laser radar

Robert Grasso, Jefferson Odhner, John Wikman, Fred Skaluba, George Dippel, Robert McDaniel, David Ferrell, William Seibel

Proceedings Volume 5988, 59880L (2005) https://doi.org/10.1117/12.630525

KEYWORDS: Cameras, Imaging systems, Target detection, Pulsed laser operation, Sensors, Forward looking infrared, Long wavelength infrared, Target designation, Gated imaging, Target recognition

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Proceedings Article | 21 October 2005 Paper

A model and simulation to predict the performance of angle-angle-range 3D flash LADAR imaging sensor systems

Robert Grasso, Jefferson Odhner, Leonard Russo, Robert McDaniel

Proceedings Volume 5988, 598807 (2005) https://doi.org/10.1117/12.630517

KEYWORDS: 3D modeling, LIDAR, Signal to noise ratio, Target detection, Systems modeling, Atmospheric modeling, Imaging systems, Sensors, Performance modeling, Backscatter

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BAE SYSTEMS reports on a program to develop a high-fidelity model and simulation to predict the performance of angle-angle-range 3D flash LADAR Imaging Sensor systems. 3D Flash LADAR is the latest evolution of laser radar systems and provides unique capability in its ability to provide high-resolution LADAR imagery upon a single laser pulse; rather than constructing an image from multiple pulses as with conventional scanning LADAR systems. However, accurate methods to model and simulate performance from these 3D LADAR systems have been lacking, relying upon either single pixel LADAR performance or extrapolating from passive detection FPA performance. The model and simulation developed and reported here is expressly for 3D angle-angle-range imaging LADAR systems. To represent an accurate "real world" type environment, this model and simulation accounts for: 1) laser pulse shape; 2) detector array size; 3) atmospheric transmission; 4) atmospheric backscatter; 5) atmospheric turbulence; 6) obscurants, and; 7) obscurant path length. The angle-angle-range 3D flash LADAR model and simulation accounts for all pixels in the detector array by modeling and accounting for the non-uniformity of each individual pixel in the array. Here, noise sources are modeled based upon their pixel-to-pixel statistical variation. A cumulative probability function is determined by integrating the normal distribution with respect to detector gain, and, for each pixel, a random number is compared with the cumulative probability function resulting in a different gain for each pixel within the array. In this manner very accurate performance is determined pixel-by-pixel. Model outputs are in the form of 3D images of the far-field distribution across the array as intercepted by the target, gain distribution, power distribution, average signal-to-noise, and probability of detection across the array. Other outputs include power distribution from a target, signal-to-noise vs. range, probability of target detection and identification, and NEP vs. gain.

Proceedings Article | 20 August 2005 Paper

A polyspectral LADAR optical breakscreen projectile sensor for reactive countermeasure queuing

Robert Grasso, Patricia Bodan, M. Smith, Jefferson Odhner, Eldon Sutphin, John McNeil, Robert McDaniel

Proceedings Volume 5871, 58710H (2005) https://doi.org/10.1117/12.611186

KEYWORDS: Sensors, Receivers, LIDAR, Electronics, Transmitters, Radar, Calibration, Velocity measurements, Integrated optics, Systems modeling

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Proceedings Article | 8 December 2004 Paper

Laser radar range and detection performance for MEMS corner cube retroreflector arrays

Robert Grasso, Jefferson Odhner, Hamilton Stewart, Robert McDaniel

Proceedings Volume 5614, (2004) https://doi.org/10.1117/12.581776

KEYWORDS: Retroreflectors, Sensors, Signal to noise ratio, Microelectromechanical systems, Atmospheric sensing, LIDAR, Telecommunications, Receivers, Backscatter, Reflectivity

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Proceedings Article | 4 November 2004 Paper

A model and simulation to predict the performance of angle-angle-range 3D flash ladar imaging sensor systems

Robert Grasso, Jefferson Odhner, Leonard Russo, Robert McDaniel

Proceedings Volume 5575, (2004) https://doi.org/10.1117/12.565541

KEYWORDS: 3D modeling, LIDAR, Signal to noise ratio, Target detection, Systems modeling, Imaging systems, Atmospheric modeling, Sensors, Performance modeling, Backscatter

Read Abstract +

BAE SYSTEMS reports on a program to develop a high-fidelity model and simulation to predict the performance of angle-angle-range 3D flash LADAR Imaging Sensor systems. 3D Flash LADAR is the latest evolution of laser radar systems and provides unique capability in its ability to provide high-resolution LADAR imagery upon a single laser pulse; rather than constructing an image from multiple pulses as with conventional scanning LADAR systems. However, accurate methods to model and simulate performance from these 3D LADAR systems have been lacking, relying upon either single pixel LADAR performance or extrapolating from passive detection FPA performance. The model and simulation developed and reported here is expressly for 3D angle-angle-range imaging LADAR systems. To represent an accurate "real world" type environment, this model and simulation accounts for: 1) laser pulse shape; 2) detector array size; 3) atmospheric transmission; 4) atmospheric backscatter; 5) atmospheric turbulence; 6) obscurants, and; 7) obscurant path length. The angle-angle-range 3D flash LADAR model and simulation accounts for all pixels in the detector array by modeling and accounting for the non-uniformity of each individual pixel in the array. Here, noise sources are modeled based upon their pixel-to-pixel statistical variation. A cumulative probability function is determined by integrating the normal distribution with respect to detector gain, and, for each pixel, a random number is compared with the cumulative probability function resulting in a different gain for each pixel within the array. In this manner very accurate performance is determined pixel-by-pixel. Model outputs are in the form of 3D images of the far-field distribution across the array as intercepted by the target, gain distribution, power distribution, average signal-to-noise, and probability of detection across the array. Other outputs include power distribution from a target, signal-to-noise vs. range, probability of target detection and identification, and NEP vs. gain.

Proceedings Article | 6 March 2001 Paper

Optomechanical modeling for fabrication of MEMS micromirrors

Jeff Odhner, Daniel Keating, Nora Finch

Proceedings Volume 4198, (2001) https://doi.org/10.1117/12.417339

KEYWORDS: Mirrors, Micromirrors, Microelectromechanical systems, 3D modeling, Computer aided design, Solid modeling, Data modeling, Process modeling, GRIN lenses, Semiconducting wafers

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Proceedings Article | 3 October 2000 Paper

Fringe stabilizers and their application to telecommunication device manufacturing

Jefferson Odhner

Proceedings Volume 4149, (2000) https://doi.org/10.1117/12.402498

KEYWORDS: Holography, Mirrors, Holograms, Sensors, Telecommunications, Manufacturing, Beam splitters, Interferometers, Semiconductor lasers, Ultraviolet radiation

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Proceedings Article | 24 March 2000 Paper

Novel technique for characterizing integrated optical waveguides

Jefferson Odhner, Bipin Singh, Joung Ha

Proceedings Volume 3936, (2000) https://doi.org/10.1117/12.379936

KEYWORDS: Waveguides, Integrated optics, Sensors, Glasses, Ions, Microscopes, Ion exchange, Semiconducting wafers, Diffraction, Helium neon lasers

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Proceedings Article | 12 June 1995 Paper

Infrared spectroradiometer design based on an acousto-optic tunable filter

Lyle Taylor, Dennis Suhre, Steve Wutzke, Phil Ulerich, Gary Baldwin, Mark Meyers, Jefferson Odhner

Proceedings Volume 2480, (1995) https://doi.org/10.1117/12.210889

KEYWORDS: Calibration, Signal to noise ratio, Sensors, Modulation transfer functions, Black bodies, Crystals, Acoustics, Target detection, Electrons, Cameras

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Showing 5 of 11 publications

Conference Committee Involvement (6)

Optical Modeling and Performance Predictions VI

29 August 2013 | San Diego, California, United States

Optical Modeling and Performance Predictions V

25 August 2011 | San Diego, California, United States

Optical Modeling and Performance Predictions IV

6 August 2009 | San Diego, California, United States

Optical Modeling and Performance Predictions III

29 August 2007 | San Diego, California, United States

Optical Modeling and Performance Predictions II

3 August 2005 | San Diego, California, United States

Showing 5 of 6 Conference Committees

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