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Dennis C Braunreiter

from San Diego, CA
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Connected to:
Alaine M Braunscheidel, 55Jarrod Braunschweiger, 41Kelly J Brauns, 53Roy F Brauns, 65Steven C Braunschweiger, 65Kimberly A Braunsdorf, 40Donna J Braunshausen, 63Jonathan D Braunshweiger, 53Katherine Braunsky, 38Jon Braunsma, 31

Dennis Braunreiter Phones & Addresses

  • 4224 Calle Mar De Ballenas, San Diego, CA 92130 (858) 699-4055
  • 17940 Pueblo Vista Ln, San Diego, CA 92127
  • 4964 Louis River Way, Tucson, AZ 85718
  • Oro Valley, AZ
  • Menomonee Falls, WI

Public records

Vehicle Records

Dennis Braunreiter

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Address:
4224 Calle Mar De Ballenas, San Diego, CA 92130
VIN:
YS3ED59G573519294
Make:
SAAB
Model:
9-5 WAGON
Year:
2007

Resumes

Resumes

Dennis Braunreiter Photo 1

Dennis Braunreiter

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Location:
30 west Lambert Ln, Tucson, AZ 85737
Industry:
Financial Services
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Principal Fellow

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Location:
San Diego, CA
Industry:
Aviation & Aerospace
Work:
Raytheon
Principal Fellow
General Atomics May 2017 - Sep 2018
Engineering Fellow and Manager Information, Processing, Software and Exploitation
General Atomics Aeronautical Systems Nov 2015 - Apr 2017
Engineering Fellow and Chief Engineer
Leidos Sep 2012 - Nov 2015
Leidos Fellow and Chief Scientist
Saic Nov 2004 - Sep 2012
Assistant Vice President and Chief Engineer and Division Manager and Technical Fellow
Education:
University of California, Los Angeles
Doctorates, Doctor of Philosophy, Electronics, Electronics Engineering, Philosophy Marquette University
Bachelors, Electronics Engineering, Electronics University of California, Los Angeles
Masters, Electronics Engineering, Electronics
Skills:
Dod
Systems Engineering
Radar
Sensors
Program Management
Signal Processing
National Security
Defense
Navy
Security Clearance
Engineering Management
Proposal Writing
Air Force
R&D
Earned Value Management
Image Processing
Simulations
Configuration Management
Integration
System Architecture
Government Contracting
Aerospace
Military
Systems Design
U.s. Department of Defense
C4Isr
System Design
Requirements Management
Engineering
Information Assurance
Technical Leadership
Project Management
Electronic Warfare
Space Systems
Leadership
Remote Sensing
Testing
Intelligence
Research and Development
Robotics
Nanotechnology
Optical Engineering
Optical Sensors
Sigint
Uav
Dennis Braunreiter Photo 3

Dennis Braunreiter

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Publications

Us Patents

Far Field Emulator For Antenna Calibration

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US Patent:
6531989, Mar 11, 2003
Filed:
Nov 14, 2001
Appl. No.:
09/992755
Inventors:
Delmar L. Barker - Tuscon AZ
Harry A. Schmitt - Tucson AZ
David J. Knapp - Tucson AZ
Dennis C. Braunreiter - Oro Valley AZ
Alphonso A. Samuel - Tucson AZ
Steven Schultz - Tucson AZ
Assignee:
Raytheon Company - Lexington MA
International Classification:
H01Q 142
US Classification:
343753, 343703, 343705
Abstract:
A radar antenna for a guided missile is calibrated in flight using a point source of microwave radiation and a lens to emulate a far field source. The microwave source and lens fit behind a metal cap at the leading end of the radome and so do not adversely affect the radar. A variety of techniques to power the point source are disclosed, and a variety of lens arrangements are disclosed. The invention allows a radar antenna to be calibrated in flight, and so insures against mis-calibration due to aging components as well as the heat and mechanical forces associated with storage and/or launch of the missile.

System And Method For Detecting And Estimating The Direction Of Near-Stationary Targets In Monostatic Clutter Using Phase Information

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US Patent:
6750804, Jun 15, 2004
Filed:
Apr 4, 2002
Appl. No.:
10/116438
Inventors:
Harry A. Schmitt - Tucson AZ
George T. David - late of Oro Valley AZ
Dennis C. Braunreiter - Oro Valley AZ
Alphonso A. Samuel - Tucson AZ
Assignee:
Raytheon Company - Waltham MA
International Classification:
G01S 7292
US Classification:
342 89, 342 94, 342118, 342134, 342135, 342136, 342149, 342159, 342175, 342194, 342195, 342196, 356 3, 356 401
Abstract:
A system and method for detecting a target. The inventive method includes the steps of receiving a complex return signal of an electromagnetic pulse having a real and an imaginary component; extracting from the imaginary component information representative of the phase component of the return signal; and utilizing the phase component to detect the target. Specifically, the phase components are those found from the complex range-Doppler map. More specific embodiments further include the steps of determining a power spectral density of the phase component of the return signal; performing a cross-correlation of power spectral density of the phase component of the return signal between different antenna-subarray (quadrant channels); and averaging the cross-correlated power spectral density of the low frequency components. In an alternative embodiment, the cross-correlation is performed on the phase component of the range-Doppler map directly. This signal can then be averaged to potentially provide improved detection of targets.

Low Phase-Noise Local Oscillator And Method

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US Patent:
6967539, Nov 22, 2005
Filed:
Aug 18, 2003
Appl. No.:
10/643278
Inventors:
Michael R. Beylor - Tucson AZ, US
Wesley H. Dwelly - Sahuarita AZ, US
Vinh Adams - Tucson AZ, US
Dennis C. Braunreiter - Oro Valley AZ, US
Harry A. Schmitt - Tucson AZ, US
Assignee:
Raytheon Company - Waltham MA
International Classification:
H05B001/00
US Classification:
331 74, 333156, 333161, 327158, 327186, 327227, 331176, 331187
Abstract:
An oscillator to generate a low phase-noise reference signal at an oscillation frequency includes a frequency generator to generate the reference signal responsive to a control signal, and a delay element made of a high-temperature superconductor material. The delay element time-delays the reference signal and provides a low phase-noise time-delayed reference signal when cooled to a cryogenic temperature. The oscillator includes a phase detector to generate the control signal from a phase difference between the time-delayed reference signal and a phase-shifted reference signal. The delay element may comprise a coplanar waveguide having a length between 500 and 1000 meters arranged randomly on a substrate having a diameter of between five and thirteen centimeters. The delay element may provide a delay ranging from five to fifteen microseconds. The coplanar waveguide may be comprised of Yttrium-Barium-Copper Oxide disposed on either a Lanthanum-Aluminum Oxide or a Magnesium Oxide substrate.

Adaptive Non-Uniformity Compensation Using Feedforward Shunting And Wavelet Filter

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US Patent:
62115154, Apr 3, 2001
Filed:
Oct 19, 1998
Appl. No.:
9/175223
Inventors:
Hai-Wen Chen - Tucson AZ
Dennis C. Braunreiter - San Diego CA
Harry A. Schmitt - Tucson AZ
Assignee:
Raytheon Company - Lexington MA
International Classification:
G06K 903
US Classification:
2502521
Abstract:
A system and method adapted for use with a focal plane array of electromagnetic energy detectors to receive first and second frames of image data from electromagnetic energy received from at least a portion of a scene. The first frame is a focused frame and the second frame is a blurred frame. In a feed-forward path the system compares the first frame to the second frame and provides an error signal in response thereto. In a main path, the system multiplies at least a portion of the second frame of image data with the error signal to provide a noise error corrected output signal. In the preferred embodiment, a wavelet filter is used to remove dome shading effects from the frames of image data. In the best mode, the wavelet filter is disposed in the main path and blurred and focused outputs therefrom are weighted, averaged and stored. Coefficients from the weighted, averaged and stored focused frames are compared to coefficients from the weighted, averaged and stored blurred frames to provide a fixed pattern noise error signal.

Efficient Multi-Resolution Space-Time Adaptive Processor

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US Patent:
6292592, Sep 18, 2001
Filed:
Oct 19, 1998
Appl. No.:
9/175222
Inventors:
Dennis C. Braunreiter - San Diego CA
Harry A. Schmitt - Tucson AZ
Hai-Wen Chen - Tucson AZ
Assignee:
Raytheon Company - Lexington MA
International Classification:
G06K 936
G06K 900
G01S 1300
US Classification:
382240
Abstract:
An image processing system and method. In accordance with the inventive method, adapted for use in an illustrative image processing application, a first composite input signal is provided based on plurality of data values output from a sensor in response to a scene including a target and clutter. The composite signal is processed to provide a plurality of tap weights. The tap weights are generated by the matrix of data values which is first filtered by a wavelet transform to provide a set of coefficients. The coefficients are sparsened to provide a sparse matrix. The sparse matrix is then inverse wavelet transformed to provide the tap weights. Finally, the tap weights are applied to the composite signal to yield a clutter reduced output signal. In the illustrative implementation, the matrix is a covariance matrix. However, a method for implementing the teachings of the invention in the data domain is also disclosed.

Adaptive Non-Uniformity Compensation Using Feedforwarding Shunting

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US Patent:
62434985, Jun 5, 2001
Filed:
Oct 19, 1998
Appl. No.:
9/175213
Inventors:
Hai-Wen Chen - Tucson AZ
Dennis C. Braunreiter - San Diego CA
Harry A. Schmitt - Tucson AZ
Assignee:
Raytheon Company - Lexington MA
International Classification:
G06K 903
G06K 943
G06T 500
US Classification:
382260
Abstract:
A system and method adapted for use with a focal plane array of electromagnetic energy detectors to receive first and second frames of image data from electromagnetic energy received from at least a portion of a scene. The first frame is a focused frame and the second frame is an unfocused frame. In a feed-forward path the system compares the first frame to the second frame and provides an error signal in response thereto. In a main path, the system multiplies at least a portion of the second frame of image data with the error signal to provide an noise error corrected output signal. In the preferred embodiment, the error signal is scaled prior to being multiplied by the second frame. An anti-mean (high pass) filter is provided to remove dome shading effects from the frames of image data. In the best mode, the anti-mean filter is disposed in the main path and blurred and focused outputs therefrom are weighted, averaged and stored.

Adaptive Non-Uniformity Compensation Using Feedforward Shunting And Min-Mean Filter

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US Patent:
6330371, Dec 11, 2001
Filed:
Oct 19, 1998
Appl. No.:
9/175214
Inventors:
Hai-Wen Chen - Tucson AZ
Dennis C. Braunreiter - San Diego CA
Harry A. Schmitt - Tucson AZ
Assignee:
Raytheon Company - Lexington MA
International Classification:
G06K 903
G06K 943
G06T 500
US Classification:
382260
Abstract:
A system and method adapted for use with a focal plane array of electromagnetic energy detectors to receive first and second frames of image data from electromagnetic energy received from at least a portion of a scene. The first frame is a focused frame and the second frame is a blurred frame. In a feed-forward path the system compares the first frame to the second frame and provides an error signal in response thereto. In a main path, the system multiplies at least a portion of the second frame of image data with the error signal to provide an noise error corrected output signal. In the preferred embodiment, the error signal is scaled prior to being multiplied by the second frame. A min-mean filter is provided to remove dome shading effects from the frames of image data. In the best mode, the min-mean filter is disposed in the main path and blurred and focused outputs therefrom are weighted, averaged and stored.

Super-Resolution Automatic Target Aimpoint Recognition And Tracking

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US Patent:
20210383506, Dec 9, 2021
Filed:
Dec 3, 2019
Appl. No.:
16/702279
Inventors:
- Waltham MA, US
Dennis C. Braunreiter - San Diego CA, US
International Classification:
G06T 3/40
F41G 3/14
F41H 13/00
G01S 17/66
H04N 5/232
H04N 5/225
G06T 7/32
G06T 7/13
G06T 7/136
Abstract:
A system includes at least one imaging sensor configured to capture images of a target. The system also includes at least one controller configured to generate super-resolution images of the target using the captured images and identify multiple edges of the target using the super-resolution images. The at least one controller is also configured to identify an aimpoint on the target based on the identified edges of the target. In addition, the at least one controller is configured to update the aimpoint on the target as the target moves over time. The system may further include a high-energy laser (HEL) configured to generate an HEL beam that is directed towards the target, and the at least one controller may be configured to adjust one or more optical devices to direct the HEL beam at the identified aimpoint on the target.
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Dennis C Braunreiter from San Diego, CA Get Report