Resume

• 7936304

  This invention relates to the use of a sufficiently-sampled auxiliary array in combination with one or more under-sampled sub-arrays. The sufficiently-sampled auxiliary array is used to create a signal-free reference (SFR) beam that contains grating lobe interference. The SFR may be used to cancel the interfering grating lobe in an under-sampled main beam by coherently eliminating or subtracting the SFR from the main beam. Exemplary aspects of the invention thus support significant under population of the full aperture and avoid the problems and limitations of previous solution

  with consequent savings in sensor hardware cost and weight.

  Method and System for Isolating and Reducing Grating Lobes

  T Canavan

• 7228236

  A method of beam forming an array

  by computer processing a cross covariance

  of the reference sub array seismic signal data signal

  by having an unknown shape comprising receiving acoustic signals

  via the array

  and computing the data and segmenting the array into an initial segment of a known shape and at least a second segment

  and beam forming the initial segment to provide a beam formed output

  and using the beam formed output to obtain weights

  for the second segment of the array.\r\n

  Sub-Array Matching Beamformer Apparatus and Method

  M Fernandez

• 6868044

  A technique for suppressing interference with unknown phase shifts received by an array of sensor elements partitions the array into a plurality of subarrays. Each subarray is processed independently to suppress the interference. Next

  the resulting data from each subarray are summed together. This summed data

  which effectively represents data provided by the full array with interference suppressed

  may be utilized to detect and/or localize a target of interest. Each subarray is processed independently of all other subarrays. No cross-subarray processing is required. This technique is applicable to linear arrays

  multi-line arrays

  planar arrays

  cylindrical arrays

  conformal arrays

  and spherical arrays. Applicable sensors include acoustic sensors (e.g.

  sonar

  ultrasonic)

  electromagnetic sensors (e.g. radar)

  and optical sensors (e.g.

  infrared

  ultraviolet

  visible light).

  Data Adaptive Interference Suppression

  D.D. Winfield

• 6594201

  A system and process for localizing signals received on multiple co-linear arrays reduces the adverse effects on localization performance due to background noise. The system and process coherently combine all possible array cross-correlograms. The resulting correlogram is a function of two variables

  one which corresponds to a fine bearing estimate and a second with maps into range.

  System and method for localizing targets using multiple arrays

  D Winfield

• 6545639

  A system and process for maintaining correlated contacts (e.g.

  sonar/radar contacts) utilizes diagonal averaging. A covariance matrix is formed from signals received by an array of sensors. These sensors may be acoustic and/or electromagnetic sensors. The covariance matrix is replaced with Toeplitz matrix. The Toeplitz matrix is a Toeplitz matrix that most closely matches the covariance matrix in the least squares sense. The Toeplitz matrix is used to calculate weight vectors for the adaptively formed response signals.\r\n

  System and method for processing correlated contacts

• 2010

  Stevens Institute of Technology

  For the Systems Engineering department at Stevens

  I am the Professor for Lockheed Martin’s Technical Development Curricula

  used in conjunction with their Engineering Leadership Development Program. In this capacity I generate technical content

  and give a host of virtual lectures on Systems Engineering and Systems Analysis. This content spans four courses worth 12 graduate credits in Systems Engineering. The goal is to give all of the new engineers across multiple lines-of-business a common understanding of Systems Engineering discipline.

  Adjunct Professor

  Syracuse

  New York Area

  Stevens Institute of Technology

• 2007

  Syr

  The Integrated Warfare Systems & Sensors (IWSS) line of business within Lockheed Martin has a $35M Internal Research & Development (IRAD) portfolio

  spanning work across three different states. I was responsible for ensuring that all projects meet technical

  cost and schedule objectives while adhering to Lockheed Martin engineering processes and compliance with federal regulations. Other responsibilities include generation of the IWSS Technology Investment Plan. This involves meeting with key stakeholders and lead engineers to identify critical technologies

  and then working with program management and business development to determine the appropriate fulfillment means.

  IRAD / Technology Manager

  Lockheed Martin MST

  As chairman IWSS Intellectual Property Review Board

  I ran a group that reviews employee-submitted invention disclosures and decides which merit patent pursuit (50+ per year). This involves working with inventors from diverse technical backgrounds to help them develop a clear

  concise description of the concept and the associated business case.

  Intellectual Property Manager

  Syracuse

  New York Area

  Lockheed Martin MST

  Syracuse

  New York Area

  As the Edelstein Professor of Practice for the Department of Electrical Engineering and Computer Science at Syracuse University

  I engage in teaching

  curriculum development

  and advising. More specifically

  I am developing programs of study in Systems Engineering. I also teach graduate level courses in Radar Tracking

  Adaptive Processing

  Modeling and Simulation

  and Non-Gaussian Clutter Rejection.

  Professor of Practice

  Syracuse University

• 1994

  Syracuse University

  Syracuse

  New York Area

  Lockheed Martin’s radar and electro-optical/infrared sensor systems provide advanced precision targeting

  navigation

  threat detection and next generation intelligence

  surveillance and reconnaissance capabilities. We’ve designed and delivered radars and sensors for every armed service and operational environment.

  System Engineer

  Lockheed Martin Rotary and Mission Systems

  For the department of Electrical Engineering at SU I have taught graduate courses in Probability

  Radar Engineering

  Tracking

  Adaptive Processing

  and Non-Gaussian Clutter Rejection.

  Adjunct Professor

  Syracuse

  New York Area

  Syracuse University

  Online

  I teach Business Math for the Southern New Hampshire University online MBA program. Topics include finance

  derivatives

  probability & statistics. The work involves online instruction & interaction with 25 students per 10 week semester.

  Adjunct Faculty

  Southern New Hampshire University

  Raleigh-Durham

  North Carolina area

  I provide consulting services for Fuentek -- a trusted adviser in the technology transfer

  business development

  and R&D community at university

  government

  and corporate organizations worldwide. We assess innovations for commercialization and analyze market research. My technical expertise includes systems engineering

  signal processing

  adaptive processing

  and tracking.

  Technology Transfer Consultant

  Fuentek

  LLC

• 1989

  Doctor of Philosophy (Ph.D.)

  My Doctoral thesis addressed detection theory and non-Gaussian clutter rejection

  Electrical Engineering

  Syracuse University

• 1986

  Thomas

  Barnard

  Ph. D.

  Lockheed Martin MST

  Syracuse University

  Southern New Hampshire University

  Fuentek

  LLC

  Lockheed Martin Rotary and Mission Systems

  For over 26 years at Lockheed Martin Corporation (and the heritage General Electric)

  my work has addressed research & development

  modeling and simulation

  and systems analysis. More specifically

  this includes the design and test of adaptive beamformers

  space-time adaptive processors (STAP)

  interference cancellation algorithms

  and non-Gaussian detectors for clutter rejection. I hold 5 US patents and have numerous publications in peer-reviewed journals and conference proceedings.

  Principle Research Engineer

  Syracuse

  New York Area

  Lockheed Martin MST

  Master of Science Electrical Engineering

  Syracuse University

• 1982

  Bachelor of Science Electrical Engineering

  Bucknell University

• Simulations

  R&D

  Public Speaking

  Earned Value Management

  Engineering

  Project Management

  Technical Writing

  Analysis

  Research

  Engineering Management

  DoD

  Sensors

  Intellectual Property Valuation

  Teaching

  Program Management

  Algorithms

  Systems Engineering

  Signal Processing

  Microsoft Office

  Testing

  Statistical Normalization of Spherically Invariant Non-Gaussian Clutter

  F. Khan

  Statistical Normalization of Spherically Invariant Non-Gaussian Clutter

  D.D. Weiner

  Non-Gaussian Clutter Generation and Approximation With Generalized Spherically Invariant Random Vectors

  A. Pennise

  An Evaluation of Selective Adaptive Beamforming Against Recorded Shallow Water Active Classification Data

  M Thelen

  M. Fernandez

  A. Aridgides

  Adaptive Clutter Suppression for Enhanced Active Sonar Operation in Shallow Water

  F. Khan

  False Alarm Rate Reduction in Active Sonar Using Spherically Invariant Random Vectors for Clutter Suppression