COURSE # ROO-405
MULTI-SENSOR FUSION
September 3-5, 2008, in Washington, DC
... outstanding introduction and system level overview of the latest technologies, architectures and prevailing DoD doctrines ...
The power to exploit all relevant information rapidly and effectively is at the core of the Network-Centric war-fighting paradigm of JV2010. Evolving Multiple Sensor Fusion Systems will enable major advances in target detection/tracking, surveillance/reconnaissance and battlefield awareness for many applications, including precision strike, command and
control, and air and missile defense, and counter terrorism. This course, presented by one of the world's leading authorities, offers insight to the latest in this rapidly evolving field.
Applications and benefits:
You will benefit by enhancing your understanding of the :
- Mission Critical Multi-Sensor Fusion Applications and Architectures.
- Emerging programs, Platforms and Capabilities for Target Identification, Tracking and Situation Awareness.
- New Directions: Network-Centric and Information Operations.
- New Technology Initiatives.
- Market for multi-sensor systems: military, strategic, commercial.
- Impacts of GCCS and DII/COE, JDL Model and Engineering Guidelines
- Practical Guidelines for Architecture Selection and System Design.
- Integrating Human and Automatic Processes.
- Measuring Performance: Metrics, Models and Testing.
Who should attend:
This up-to-date class, presented by a world-renowned authority, examines the Multi-Sensor Fusion role and the status of sensor fusion systems and technologies in major defense programs, and the forecast for future technology developments. Most importantly, via specific examples and practical exercises, the seminar provides program managers, system
designers, and technical specialists a model for Next Generation Multi-Sensor Fusion development and a methodology for applying the latest sensor fusion architectures, tools and techniques to specific applications.
Course Outline:
- Applications
- Why Multi-Sensor Fusion?
- Definitions
- Benefits
- 21st Century Challenges
- JV2010 and Network-Centric Operations
- Asymmetric Threats
- Situational Assessment and Planning Support
- Representative Applications
- Air and Missile Defense
- Battle-Space Data Fusion
- Information Operations/information Warfare
- Strategic Analysis
- System Design
- System Design Methodology
- Design Issues for Multisensor/Multitarget Fusion
- System and Software Engineering Methodology
- The JDL Model
- GCCS, DII/COE Standards
- Data Fusion Engineering Guidelines
- Architecture Selection
- The Role of Data Fusion
- Sensor Fusion and Collection/Sensor Management
- Integrated Situation Awareness
- Sensor Suite Selection and Balancing
- Capabilities and Limitations of Classes of Sensors
- Advances in Sensors
- Other Data Sources
- Target Models and Signature Libraries
- Architecture Selection: the Data Fusion Tree
- Fusion Node Inputs/Outputs (Data Batching)
- Technique Selection
- Data Alignment
- Data Association
- Target State Estimation and Prediction
- Performance Evaluation
- Current And Future Capabilities
- System Examples
- Fighter Aircraft Avionics Integration
- Air and Missile Defense
- Automatic Target Recognition
- Network-Centric Warfare
- Tactical Intelligence
- Current System Issues
- Needs & Technology Forecast
- Unified Inferencing
- Situation & Impact Assessment (Levels 2 & 3)
- Estimating and Predicting the Human Target
- Process Refinement (Level 4)
- The Role of the Human
About the Instructor
Alan N. Steinberg is an internationally recognized expert in the fields of multi-sensor integration and fusion. He is the 2003 recipient of the prestigious Joseph Mignona Award for outstanding achievement in Data Fusion. He has over 25 years experience in developing advanced technologies in remote sensing, data analysis and interpretation for major weapons, sensors, electronic combat, and targeting systems. A Senior Research Scientist at CUBRC (Calspan University at Buffalo Research Center), he is responsible for developing and assessing advanced multi-sensor processing techniques for several U.S. Government agencies. He has over thirty years' experience in program management and engineering of major weapons, sensors, electronic combat, targeting and intelligence system developments. As Technical Director for Data Fusion at Veridian ERIM International, he supported DARPA’s Dynamic Database System developing automatic model-based techniques for rapidly recognizing and tracking mobile surface targets using multi-sensor/multi-source information. He led a USAF Space Warfare Center effort to provide cost-effective means for correlating information from multiple sources to meet the combatant’s need for pertinent, accurate and timely combat information. He is a member of the US DoD Joint Directors of Laboratories (JDL) Data Fusion Group for which he revised the JDL Data Fusion Model and Engineering Guidelines. He is also a founder and former chairman of the U.S. DoD-Sponsored National Symposium on Sensor Fusion. He led major system engineering efforts in the DARPA Dynamic Tactical Targeting (DTT), Dynamic Multi-User Information Fusion (DMIF) and the Multi-source Intelligence Correlator (MICOR) programs. He has provided support to the Missile Defense Agency in defining the information architecture for missile defense, developing ground-based radars, and evaluating sensor and weapon technologies. He has also held senior program management positions at ERIM, TASC, Litton Systems and Lockheed Aircraft.
Details:
Course: ROO-405 Duration: 3 Days FEE: $1,499 CEUs: 2.16
Please direct any additional inquiries regarding our courses to Zygmond Turski, Program Director, by e-mail, FAX: (240) 371-4488 or TELEPHONE: (636) 273-9608.
Call toll free 1-800-683-7267 from anywhere in the Continental U.S. or CANADA.
Last modified June 9, 2008.
