WALTER H. DELASHMIT, JR.




WORK EXPERIENCE:

Dr. Walter H. Delashmit retired from Lockheed Martin Missiles and Fire Control after 25 years and 39 years in the aerospace industry. He then was on the Adjunct Faculty of the University of North Texas and has performed independent consulting since 2005. He also reviews technical papers on a regular basis for journals and conferences.

December 2005 Independent Consulting
To
Present

Dr. Delashmit does part-time consulting work with the Neural Decision Lab, LLC (NDL), the Image Processing and Neural Network Laboratory (IPNNL), Profiles International and Georgetown Rail Equipment Company. The consulting work is in the areas of neural networks, image processing and signal processing.

Dr. Delashmit has worked on two independent consulting contracts (non aerospace). These include (1) using image processing to perform railroad track tiles inspection starting in December 2005 for Georgetown Railroad Company. This was performed with the Neural Decision Lab and (2) helping to prepare a proposal (2008) for Nine Sigma, Inc. and on scratch detection on smooth surfaces. This proposal received extremely high evaluation scores although at the present the funding has been put on hold. This was performed at UNT.


August 2007 Adjunct Faculty
To
April 2009

Dr. Delashmit was an Adjunct Faculty Member at the University of North Texas (UNT).

Dr. Delashmit taught courses at UNT including Project VI (Modern Electronic Communications), Project VII and Project VIII (Senior Design Projects), Modern Control Systems (a new course that he also developed in its entirety for the first time it was offered at UNT) and Circuit Theory I.



January 1982 Lockheed Martin Missiles and Fire Control
To P.O. Box 650003
January 2007 Dallas, Texas 75265-0003


Dr. Delashmit was previously the Program Manager and Principal Investigator for the Seeker Technology and Software Development Program (2005 � 2007) and the Weapon Seeker Improvement Program (2001 � 2005). These two programs were developing advanced automatic target recognition algorithms for the next generation of laser radar (LADAR) sensors for future missiles and submunitions.
Dr. Delashmit was also the Manager of Signal and Image Processing (1985 � 2005) at Lockheed Martin Missiles and Fire Control - Dallas (LMMFC) [formerly Loral Vought Systems (LVS) and LTV Aerospace and Defense] and has over 39 years of experience in engineering. He developed the Signal and Image Processing Group as a new functional group at LMMFC.
From 1998 through 2000 he concentrated on implementing the Software Engineering Institute's (SEI) Capability Maturity Model (CMM) at Lockheed Martin to achieve the software capability for Level 2 and Level 3. During this time he was a member of the Software Process Group and previously a member of the Process Coordination Group. This assignment included developing and implementing the processes and participation in one Capability Based Assessment for Internal Process Improvement (CBA IPI) (Level 3 - November 1999) and two evaluations (Level 3 - August 1999 and Level 3 Enterprise effort - June 2000). He had the responsibility for leading the Enterprise (non-embedded, non-real-time, diverse environment) software process improvement effort. This Enterprise effort resulted in a successful evaluation of these unique software projects in June 2000. He has also taken specialized software process training at the Carnegie Mellon University (CMU) Software Engineering Institute (SEI), the Software Productivity Consortium (SPC), the University of Texas at Arlington (UTA) and at Lockheed Martin.
He was previously the Principal Investigator for LMMFC for developing target recognition and image processing algorithms for a contract on the DARPA Autonomous Systems Technology (AST) Program and was also the Lead Engineer for the algorithm development activities for the Demonstration of Advanced Solid State LADAR (DASSL) contract. He was also previously the Principal Investigator for the LMMFC contract for the Joint Advanced Weapons Guidance (JAWG) Program. He also developed enhanced detection and aimpoint optimization algorithms for the ERINT Program (now PAC-3 Program) using neural networks and robust statistical signal processing techniques.
He has performed work in the areas of automatic target recognition (ATR) for both tactical and fixed, high-value targets, scene data base generation, development of target and missile trackers, application of neural networks, artificial intelligence and expert systems techniques, and development of new signal processing architectures for implementation of advanced algorithms.
He also developed the Image Processing Laboratory at LMMFC-D that consists of multi-user networked PCs running Linux and Windows, and peripheral equipment for displaying, recording, generating and manipulating various types of imagery. He also developed a separate Image Processing Laboratory annex for other specialized activities.
Dr. Delashmit has also developed image processing algorithms for the Strategic Defense Initiative (SDI) applications for the Interceptor Electronics (INTELECT) Program and under Advanced Space Defense Systems Studies IR&D. He developed the LMMFC-D plume track point determination algorithm that was recognized by the SDI Program Office as a Significant Technical Achievement in Research. He also directed and performed algorithm development in the area of hardbody localization and missile identification.
He was also previously assigned as Project Manager for the Anti-Satellite (ASAT) Digital Signal Processing Electronics (DSPE) Feasibility Study. This contract led to a design which showed significant improvements in ASAT performance capabilities and which was amenable to real-time implementation. This feasibility study resulted in a follow-on contract for which Dr. Delashmit was also Project Manager. This DSPE Preliminary Design Program performed further analyses and designed, constructed and tested an 8-channel breadboard. A critical element of this program was the design of an optimum real-time filter and an enhanced target location algorithm, which extracted the target signature from high-frequency noise and a low-frequency modulation signal that was five times as strong as the target signature. These DSPE contracts were successfully completed on time and within budget and resulted in a system that met stringent size, weight and electrical power constraints.
Algorithm and design work for scene matching correlation was extended under Internal Research and Development (IR&D) to develop an enhanced processing architecture using a new generation of DSP chips. This new design, the Real-Time Signal and Image Processing System (RTSIPS), was constructed and tested to process two- and three-dimensional imagery using enhanced target recognition and scene matching algorithms.
Prior to these assignments, Dr. Delashmit was the Lead Engineer for the Automatic Laser Target Classification (ALTC) Program and for Automatic Acquisition IR&D, developing algorithms for smart missiles using advanced ATR techniques. He developed algorithms for image enhancement, edge extraction, target detection, target segmentation and feature extraction. These algorithms included median and alpha-trimmed mean filters, hypothesis-based detection algorithms and synergistic target segmentation algorithms. Imagery processed included laser radar (LADAR) (range, intensity and Doppler signatures), passive imaging infrared and millimeter wave radar.





August 1976 Research Engineer
To The Pennsylvania State University
January 1982 Applied Research Laboratory
State College, Pennsylvania

Dr. Delashmit applied digital signal processing techniques to the detection and tracking of underwater targets. He was the lead engineer for the development and implementation of a real-time, bit-slice, microprocessor-based target detection algorithm for a prototype torpedo system. He also designed digital filters for various applications and developed least-mean squares processing techniques for the decoupling of target and interference sources. He also assisted U.S. Navy personnel in proposal evaluation and contract monitoring.


April 1972 Senior Engineer
To Martin Marietta Aerospace
August 1976 Orlando Division
Orlando, Florida

Dr. Delashmit was involved in the development of correlation and spectral analysis techniques for correlation map-matching systems for missile terminal homing systems. He performed theoretical analyses and developed computer simulations for analyzing radar signal processing performance. A feature/edge correlation system was developed which resulted in improved accuracy over conventional systems. A detailed error analysis was performed to generate accuracy predictions and error sensitivities for an operational terminal homing system. He also performed control system design and analyses, tracking filter design and bandwidth optimization, and body-fixed guidance studies.


March 1969 Member of Technical Staff
To TRW Systems
April 1972 Houston Operations
Houston, Texas

Dr. Delashmit performed mathematical modeling of systems and computer simulation studies for Skylab missions. He also performed preflight and postflight analyses for Apollo missions. He was also a member of the Apollo 13 planning and analysis team. Major efforts involved the application of Kalman filtering techniques in the design of a real-time roll angle determination technique for Skylab and the evaluation of the effects of gravity gradient torques on Skylab for various inertial orientations.




EDUCATION:
Ph.D., Electrical Engineering, University of Texas at Arlington, 2003 (Dissertation: Multilayer Perceptron Structured Initialization and Separating Mean Processing)

MSEE with minor in mathematics, University of Tennessee, 1968

BSEE, Christian Brothers College, 1966

Autonomous Vehicle System Development Workshop at University of Texas at Arlington, 2008

Software Process courses: Introduction to the CMM (CMU-SEI),
Interpreting the CMM for Diverse Environments (SPC), Quantitative Management (SPC) and Software Engineering Processes (UTA)

Short courses in neural networks, genetic algorithms, artificial intelligence, image processing, signal processing, pattern recognition, Kalman filtering, estimation theory and engineering management

Leadership 21 Courses at LMMFC-D (1999-2004)

Completed Middle-Management Training Seminar (1989)

Basic Management Skills for Engineers and Scientists (1987)


TEACHING
Adjunct Faculty at the University of North Texas [teaching Modern Electronic Communication (Project VI)], Modern Control Systems, Circuit Theory I and Senior Project I and II) [August 2007 to April 2009]

Substitute faculty at the University of Texas at Arlington for Professor Michael Manry (when he is unavailable) in courses on Statistical Signal Processing, Statistical Pattern Recognition and Digital Signal Processing

Taught courses in probability and statistics and linear regression at Lockheed Martin

Taught courses in probability and statistics at Rollins College in Orlando, Florida






PROFESSIONAL AFFILIATIONS AND ACTIVITIES:
Life Senior Member of the Institute of Electrical and Electronics Engineers (IEEE)

Registered Professional Engineer

Member of Tau Beta Pi Engineering Honor Society (Texas Eta 1994)

Member of Eta Kappa Nu Electrical Engineering Honor Society (Texas Epsilon MU 1994)

Invited Judge for Annual Celebration of Excellence by Students (ACES) at
the University of Texas at Arlington to review students graduate and
undergraduate research activities (2009)

Session Chairman (Session 4B � Engineering Analysis) at the 7th Annual Memphis Area Science and Engineering Conference (MAESC) (2005)

Technical paper reviewer for the Journal of Neurocomputing (2001-present)

Technical paper reviewer for the IEEE Transactions on Neural Networks (2004-present)

Technical paper reviewer for the Journal of the Optical Engineering Society (2005-present)

Technical paper reviewer for the Engineering Applications of Artificial Intelligence (2008-present)

Technical paper reviewer for the International Joint Conference on Neural Networks (IJCNN) (2006)

Technical paper reviewer for the 2004 International Conference on Neural Information Processing (ICONIP) (2004)

Chairman (1976) and Vice-Chairman (1975) of IEEE Orlando Section of the Aerospace and Electronic Systems Society (AES)

Invited member of IEEE Spectrum Readership Survey Panel (2004)







HONORS AND AWARDS:
Awarded copy of Presidential Medal of Freedom by NASA for work on Apollo 13 (1970)

Awarded President's Performance Award (2000) at Lockheed Martin Missiles and Fire Control - Dallas for work in achieving the SEI CMM Level 3 capability (team award) (2000)

Letter of commendation from Dr. Vance D. Coffman, Chairman and CEO Lockheed Martin Corporation, for completing Doctorate in Electrical Engineering (May 2003)

Selected as Outstanding New Inductee in Eta Kappa Nu for spring 1994 semester at University of Texas at Arlington

Special Recognition Award (SRA) for work on leading and implementing Level 3 Enterprise Software Processes (2000)

Letter of commendation from Dr. L.W. Fung, NASA Goddard Space Flight Center for correlation guidance system technical paper (1976)

Letter of commendation from Rear Admiral Jackson, U.S. Navy, for proposal evaluation work for advanced torpedo system (1979)

Letters of Commendation from Dr. A. A. Akerman III for work on DARPA AST Program (December 1994, August 1995)

Acknowledgment of Significant Technical Achievement in Research by the SDI Program Office (1986)

Letter of commendation from J.P. Laughlin, LVS Senior Vice President of Programs, for work on ASAT DSPE Preliminary Design Contract (1986)

Two Intellectual Property Awards from Lockheed Martin Missiles and Fire Control for patent submissions (2003, 2004)

Special Recognition Awards for WSI Program data collection CFT effort (2003, 2004)

Special Recognition Award for completing Ph.D. in electrical engineering at UTA (2003)

Several Special Recognition Awards for Software Process Work and Employee Evaluation/Stacking Software Development (1998-1999)

Performance Incentive Program (PIP) Award at Loral Vought (1995, 1996)

LVS productivity improvement award for Outstanding Productivity Improvement (First Quarter 1990)

Biography included in Marquis Who�s Who in the World, Who�s Who in America, Who�s Who in Science and Engineering, Who�s Who in Business and Industry, Who's Who in Technology Today, Who's Who in Aviation and Aerospace, Who's Who in the South and Southwest, Who's Who in Frontiers of Science and Technology, Personalities of the South, Directory of World's Researchers, Who's Who of Emerging Leaders in America

PATENTS:
1. �Photographic Based Target Models for LADAR Sensors,� 20050157931, (J. T. Jack and W. H. Delashmit )

PUBLICATIONS:
Journals and Conference Proceedings:
1. �Infrared Based Object Tracking,� SPIE Defense, Security and Remote Sensing Symposium, Paper No. 7298-133, April 2009 (J. Gervais, A. L. Youngblood, W. H. Delashmit)
2. �Photographic Based Target Models for LADAR Applications,� SPIE Defense, Security and Remote Sensing Symposium, Paper No. 7323-133. April 2009 (J. T. Jack, W. H. Delashmit)
3. �An Integrated Growing-Pruning Method for Feedforward Network Training,� Journal of Neurocomputing, Vol. 71, Nos. 13-15, pp. 2831-2847, August 2008. (P. L. Narasimha, W. H. Delashmit, M. T. Manry, J. Li, F. Maldonado)
4. �A Neural Network Growing Algorithm that Ensures Monotonically Non Increasing Error,� Dynamics of Continuous, Discrete and Impulsive Systems (DCDIS), Series A, Mathematical Analysis, Special Issue on Advances in Neural Networks � Theory and Applications, , Vol. 14(S1), pp. 280-284, August 2007. (W. H. Delashmit, M. T. Manry)
5. "Convergent Design of Piecewise Linear Neural Networks", Journal of Neurocomputing, vol. 70, pp. 1022�1039, 2007. (H. Chandrasekaran, J. Li, W.H. Delashmit, P.L. Narasimha, C. Yu, M. T. Manry)
6. �Fast Generation of Trained and Validated Feed-forward Networks�, 19th International FLAIRS Conference, Melbourne, FL, 11-13 May 2006. (P.L. Narasimha, W.H. Delashmit, M. T. Manry)
7. �Target Detection in LADAR Range Imagery Using Shadow Analysis,� SPIE Defense and Security Symposium, Laser Radar Technology and Applications XI, Paper 6214-05, Orlando, FL, 19-20 April 2006. (G. Kuntimad, W. H. Delashmit)
8. �Perception and Autonomous Navigation Using a Priori Data,� SAE World Conference and Exhibition, Detroit, MI, 4-5 April 2006. (K. L. Conrad, J. R. Galloway, R. P. Irwin, W. H. Delashmit, J. T. Jack, G. Kuntimad, M. R. Maguira, C. Q. Little, R.R. Peters)
9. �Recent Developments in Multilayer Perceptron Neural Networks", Proceedings of the 7th annual Memphis Area Engineering and Science Conference (MAESC), 2005 (W. H. Delashmit, M. T. Manry)
10. �New Training Algorithms for Dependently Initialized Multilayer Perceptrons,� �Proceedings of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, pp. 581-585, 9-12 November 2003. (W. H. Delashmit, M. T. Manry)
11. �Enhanced Robustness of Multilayer Perceptron Training,� Proceedings of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, pp. 1029-1033, 3-6 November 2002. (W. H. Delashmit, M. T. Manry)
12. �Laser Radar (LADAR) �Automatic Target Recognition Algorithm Development at Lockheed Martin Vought Systems,� Proceedings of the Lockheed Martin Signal Processing Symposium, October 8-9, 1997, Lockheed Martin Proprietary (W. Delashmit)
13. �Geometric Hashing for Three Types of Sensor Imagery,� Proceedings of the 5th Automatic Target Recognizer Systems and Technology Symposium, pp. 105-128, September 1996. (A. Akerman, R. Patton, W. Delashmit, R. Hummel, T. Strat, T. Witten)
14. A Practical Approach to Ground Target Modeling and Validation,� Proceedings of the 7th Annual TARDEC Ground Vehicle Survivability Symposium,� March 1996. (J. Mullikin, W. Delashmit)
15. �Target Identification Using Geometric Hashing and FLIR/LADAR Fusion,� Proceedings of the 1996 Image Understanding Workshop, pp. 595-618, February 1996. (A. Akerman, R. Patton, W. Delashmit, R. Hummel)
16. "Multisensor Fusion Using FLIR and LADAR Identification," Proceedings of 8th National Symposium on Sensor Fusion, pp. 345-367, March 1995, and Reconnaissance, Surveillance, Target Acquisition (RSTA) 1994 Technical Reports of the ARPA Image Understanding Research Program, pp. 101-123, September 1995. (A. Akerman, R. Patton, W. Delashmit, R. Hummel)
17. "Satellite Intercept Targeting DSP Algorithm Design and Evaluation," IEEE Transactions on Aerospace and Electronic Systems, Vol. 29, No. 3, pp. 726-740, July 1993. (W.H. Delashmit, T.J. Raeuchle)
18. "General Common Database Structure for Generating Synthetic Imagery," SPIE Proceedings, Recent Advances in Sensors, Radiometric Calibration and Processing of Remotely Sensed Data, Vol. 1938, pp. 272-282, April 1993. (W.H. Delashmit, P.J. Thompson)
19. "Feature Classification Techniques Applicable to Common Database Development for Mission Rehearsal and Training," SPIE Proceedings, Visual Information Processing II, Vol. 1961, pp. 263-274, April 1993. (P.J. Thompson, W.H. Delashmit)
20. "Generation of Synthetic Aperture Radar and Thermal Infrared Imagery from Color Infrared Images," Proceedings of the 1992 International Simulation Technology Conference (SimTec '92), pp. 213-222, November 1992. (P.J. Thompson, W.H. Delashmit)
21. "Design and Performance Evaluation of a Digital Signal Processing System for Anti-Satellite (ASAT) Targeting," Proceedings of the IRIS Targets, Backgrounds and Discrimination Symposium, Vol. III, pp. 305-326, February 1989. (W.H. Delashmit)
22. "Present Status and Future Needs for Automatic Target Recognizers," SPIE Proceedings, Digital Image Processing Applications, Vol. 1075, pp. 373-383, January 1989. (W.H. Delashmit)
23. "Missile Plume Track Point Determination and Hardbody Extraction," Proceedings of the IRIS Targets, Backgrounds and Discrimination Symposium, Vol. I, pp. 139-168, February 1988. (W.H. Delashmit, R.W. Phillips)
24. "Synergistic Segmentation of Targets Using Range and Intensity Images," Proceedings of the IRIS Active Systems Symposium, Vol. II, pp. 185-198, November 1985. (W.H. Delashmit)
25. "Signal Detection Using Bit-Slice Microprocessors," IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-20, No. 5, pp. 526-532, September 1984. (W.H. Delashmit)
26. "Source Separation in Multi-Beam Systems Using the Cross-Spectrum Decoupler (U)," U.S. Navy Journal of Underwater Acoustics, Vol. 30, No. 4, pp. 565-575, October 1980, Confidential paper (W.H. Delashmit, J.A. Stover)
27. "Passive Target Detection Using Multiple Beams (U)," Proceedings of the 32nd Navy Symposium on Underwater Acoustics, Vol. II, pp. 578-583, November 1978, Confidential paper (W.H. Delashmit)
28. �Feature/Edge Pattern Matching Correlation Systems to Achieve Improved Accuracy," Proceedings of SOUTHEASTCON '77, pp. 411-414, April 1977. (W.H. Delashmit)
29. "Accuracy and Error Sensitivities for Circular Scan Correlator Systems," IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-13, No. 1, pp. 22-34, January 1977. (W.H. Delashmit, R.F. Webber)
30. "Linear Scale Factor Error and Optimum Filter Bandwidth for Correlation Accuracy," Electronics Letters, Vol. 10, No. 20, pp. 414-415, October 3, 1974. (R.F. Webber, W.H. Delashmit)
31. "Optimum Filtering Techniques for Minimizing the Probability of False Match of Product Correlators," AIAA Paper No. 74-889, AIAA Mechanics and Control of Flight Conference, August 1974. (W.H. Delashmit, R.F. Webber)
32. "Product Correlator Performance for Gaussian Random Scenes," IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-10, No. 4, pp. 516-520, July 1974. (R.F. Webber, W.H. Delashmit)
33. "Analytical and Experimental Results for Maximizing the Pull-in Range of Product Correlators," IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-10, No. 2, pp. 216-222, March 1974. (W.H. Delashmit, R.F. Webber)
34. "Gray Level Enhancement Techniques for Increasing the Observability of the Borders of Features of Digitized Imagery," Photographic Science and Engineering, Vol. 17, No. 6, pp. 518-523, November/December 1973. (W.H. Delashmit, R.F. Webber)
35. "Correlator Performance and the Squared Coherency," Electronics Letters, Vol. 9, No. 21, pp. 496-497, October 18, 1973. (R.F. Webber, W.H. Delashmit)


Technical Presentations (No Formal Published Proceedings):
1. �Local Perception: 3D Obstacle Detection Algorithm� 4th GN&C Unmanned Systems Conference, Mitchell Field NY, 27-29 September 2006,(Lockheed Martin Proprietary (G. Kuntimad, W. H. Delashmit)
2. �Targeting for Enhanced Precision Strike Using Laser Radar, � Precision Strike Technology Symposium, Classified paper, Laurel, MD, 17-19 October 2006. (G. Kuller, B. D. Pettitt, W. H. Delashmit)
3. �Laser Radar Sensor Modeling,� Second Annual Lockheed Martin Automatic Target Recognition Symposium, 1-2 October 2002, Orlando, FL,(Lockheed Martin Proprietary (W. Blattner, H. Banerjee, J. Jack, W. H. Delashmit)
4. "Fixed, High-Value Targeting at Lockheed Martin Missiles and Fire Control - Dallas," Dallas, TX, Lockheed Martin Signal Processing Symposium 99, October 1999, Lockheed Martin Proprietary (B. Pettitt, W. Delashmit)
5. �Classification of FLIR and LADAR Imagery Using Geometric Hashing and Recognition by Components,� DARPA Image Understanding Technology Program Reviews, Fort Belvoir, VA, September 1996. (A. Akerman, R. Patton, W. Delashmit)
6. �Multisensor Fusion Using FLIR and LADAR Identification,� 1994 Image Understanding Workshop, Monterey, CA, November 1994. (A. Akerman, R. Patton, W. Delashmit)
7. "Performance Analysis and Prediction for Scene Matching Correlation Systems," 1993 Texas Systems Day Conference, the University of Texas at Arlington Automation and Robotics Research Institute (UTA/ARRI), November 20, 1993. (W. H. Delashmit)
8. "DSP Algorithm Design and Evaluation with Application to Targeting Systems," Senior/Graduate Seminar Presentation, the University of Texas at Arlington, Department of Electrical Engineering, October 15, 1993. (W. H. Delashmit)


Reports for External Customers:
At Lockheed Martin Missiles and Fire Control (formerly Loral Vought Systems and LTV Aerospace and Defense):
1. Weapon Seeker Improvement Study, 3-18700/2001R-5017, 17 September 2001 (for U.S. Army AMCOM, Redstone Arsenal, Alabama)
2. Demonstration of Advanced Solid State LADAR (DASSL), (for U. S. Air Force and U. S. Navy)
3. Real-Time Targeting Demonstration, Concept Definition, Report No. 3-76000/4RPT-577A, 13 July 1995 (for U.S. Navy, U.S. Air Force, U.S. Marine Corps)
4. Multisensor Fusion Using FLIR and LADAR Identification, April 1995 and April 1994 (for ARPA/ARO)
5. Low-Cost LADAR Demonstrator, Report No. 3-46200/3R-28, May 1993 (for U.S. Army/ARDEC)
6. Automatic Laser Target Classification (ALTC), Final Report, WRDC-TR-90-116, April 1992 (for USAF/WRDC)
7. Advanced Homing Techniques with Optimal Aimpoints and Neural Networks, Report No. 3-43600/0R-017, April 1990 (for U.S. Army/SDC)
8. Laser Radar ATR Algorithms, Report No. 3-46000/7R-50, May 1987 (for U.S. Army CECOM/CNVEO)
9. Image-Processing and Pattern-Recognition Concepts for Boost-Phase Missile Tracking, Pointing and Identification for SDI Applications, Report No. 3-43300/7R-001, March 1987 (for Sandia National Laboratories-Livermore)
10. ASAT Digital SPE Preliminary Design, Report No. 380-ELBBH-62466, December 1986 (for USAF/Space Division)
11. ASAT Digital SPE Feasibility Study, Report No. 380-ER-FEAF-52396, October 1985 (for USAF/Space Division)
12. Automatic Laser Target Classification Phase I Interim Report, June 1985 (for USAF/WRDC)
13. Automatic Laser Target Classification (ALTC), Report No. 2-35101/3R-60009, August 1983, (for U.S. Air Force/WRDC)
14. Laser Radar Applications (LADAPPS), Report No. 2-36000/3R-53433 (for USAF/AFATL)

At Penn State/Applied Research Lab:
1. Application of the Cross-Spectrum Decoupler to Passive Target Detection for the MK48 ADCAP System (U), TM 78-256, Confidential Report, October 1978 (for U.S. Navy/NAVSEA)
2. Preliminary Results from the Active Cross-Spectrum Decoupler Simulation for the MK48 ADCAP Signal Processor (U), TM 78-257, Confidential Report, October 1978 (for U.S. Navy/NAVSEA)
3. Passive Detection of Targets Using Multiple Offset Phase Center Beams (U), TM 78-241, Confidential Report, September 1978 (for U.S. Navy/NAVSEA)
4. Computer Program for Designing Recursive Digital Filters with Arbitrary Magnitude Characteristics, TM 77-73, March 1977 (for U.S. Navy/NAVSEA)

At TRW Systems:
1. Technique for Real-Time Determination of the Angle Between the Vehicle X-Axis and the Orbit Plane from Estimated Gravity Gradient Torque Data, NASA/MSC Internal Note No. 72-FM-5, June 1972 (for NASA/MSC)


REFERENCES: (1) Michael T. Manry, Ph.D.
University of Texas at Arlington
Professor of Electrical Engineering
manry@uta.edu
817-272-3483 (Office)
817-2723469 (Lab)
817-633-3259 (Home)

(2) Bryan D. Pettitt
Principal Systems Engineer
Lockheed Martin Missiles and Fire Control
PO Box 650003
Mail Stop L37-10
Dallas, TX 75265-0003
bryan.d.pettitt@lmco.com
972-603-7745

(3) James T. Jack
Senior Staff Systems Engineer
Lockheed Martin Missiles and Fire Control
PO Box 650003
Mail Stop SP-20
Dallas, TX 75265-0003
james.jack@lmco.com
972-603-7538 (Work)
817-917-2127 (Cell)