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The Time is Right

3rd Annual KASSPER Workshop 2004

Day 1

• Cognizant Autonomous Sensor Technology: Sensors as Robots
  Michael C. Wicks, Ph.D., Air Force Research Lab
• Improvements to a Knowledge-Aided STAP Approach Based on Multi-CPI Clutter Maps
  Douglas Page & Gregory Owirka, ALPHATECH, Inc.
• Robust Methods of Incorporating Prior Knowledge into Generalized RADAR Processing
  Nikola Subotic, ALTARUM
• KAn Update on the Status of the SPEAR Testbed at AFRL
  Movie Presentation: Movie 1 Movie 2 Movie 3
  J. Tyler, R. Bozek & W.Szczepanski, Black River Systems, Co., Inc.
• Terrain Knowledge Assisted STAP
  Pillai, C&P Technologies, Inc.
• Exploiting Environmental Knowledge for Improved Signal Processing
  G.T. Capraro, C.T. Capraro, D.D. Weiner, & M.C. Wicks, Capraro Technologies, Inc.
• KASSPER Workshop 2004
  Joseph R. Guerci, Ph.D., DARPA/SPO
• Knowledge Aided SAR Processing and GMTI Extensions
  M. Nayeri, J. Gleason, & D. Rieken, General Dynamics Advanced Information Systems
• Empirical Receivers for Knowledge-Assisted STAP
  Douglas B. Williams, Georgia Institute of Technology
• Supporting Algorithms for Knowledge-Aided STAP
  G.A. Showman, Ph.D., & W.L. Melvin, Ph.D., Georgia Tech Research Institute
• More SCHISM (Signal and Clutter as HIghly Independent Structured Modes)
  George R. Legters, Ph.D., SAIC
• Generation of Digital Elevation Maps from Radar Data: A Key to KASSPER
  Chuck Morgan & Paul Mountcastle, Technology Service Corporation
• Data Domain STAP with Knowledge-Aided Pre-Whitening
  J. Bergin, P. Techau & C. Teixeira, Information Systems Laboratories, Inc.
• SAR-Based Covaiance Estimation for STAP
  Nathan A. Goodman, The Univeresity of Arizona, Dept. of ECE
• Clutter Scattering Function Estimation and Moving Target Estimation from Multiple STAP Datacubes
  D.R. Fuhrmann, L. Boggio, J. Maschmeyer, J.A. O'Sullivan, & R. Chamberlain, Washington University in St. Louis

Day 2

• A Knowledge-Aided STAP Architecture
  W.L. Melvin, Ph.D., & G.A. Showman, Ph.D., Georgia Tech Research Institute
• KASSPER Real-Time Embedded Signal Processor Testbed
  Glenn Schrader, MIT Lincoln Laboratory
• KASSPER Signal Processing
  Steven Krich, Jacob Griesbach, & Ali Yegulalp, MIT Lincoln Laboratory
• KASSPER Technology for the Advanced Strike Fighter
  B. Kustom & A. Barthelemy, Northrop Grumman Electronic Systems
• Enhanced Knowledge-Aided STAP for Airborne Radar Applications
  Amin Jaffer, Ph.D. & Thomas Miller, Ph.D., Raytheon Space and Airborne Systems
• Preliminary Performance Results of High Performance Embedded Computing (HPEC) on KASSPER Algorithms
  Matthew French, University of Southern California