ATI's Radar Signal Analysis and Processing using MATLAB course

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Radar Signal Analysis and Processing using MATLAB

3-Day Course

Summary

This three-day course develops the technical background needed to predict and understand the factors controlling the performance of radar systems including anti-clutter and anti-jamming signal processing techniques. The course introduces the fundamental concepts and properties of various techniques without the necessity of a detailed analytic background. Each student will receive the instructor’s textbook MATLAB Simulations for Radar Systems Design as well as course notes.

View Course Sampler

  • Learn radar theory and signal processing concepts.
  • Learn that the detection range in thermal or jamming noise depends primarily on the amount of energy transmitted and not upon the waveform parameters, such as bandwidth, etc. but the waveform determines detection range in clutter.
  • Learn that Constant False Alarm Rate (CFAR) is mandatory and how signal processing is used to emphasize the desired signal and reduce the response to clutter and jamming.
  • The design of radar systems is a constant trade-off as increasing the goodness of one parameter, such as resolution, always causes degradation of another parameter. From this course you will learn evaluation criteria to aid in choosing desirable choices.
  1. Radar System Fundamentals.

  2. Target Detection -- Resolution and clutter.

  3. Maximum Detection -- Range in noise, targets in clutter, jamming and clutter.

  4. Horizon and Multipath -- Effects on detection range.

  5. False Alarm -- Probability effects, sensitivity and cfar processors.

  6. System Parameter -- Interrelations.

  7. Transmit/Receive Antennas.

  8. System Performance Equations.

  9. Resolution -- Measurement accuracy and ambiguity.

  10. Tracking Radar Techniques.

  11. Waveforms and Matched Filtering.

  12. Very Wideband Lfm Waveforms.

  13. Reflector and Phased Array Antennas.

  14. Sidelobe Reduction -- Weighting, effects of errors on sidelobe reduction, and earth effects on antenna patterns.

  15. Doppler Signal Processing -- Stagger coded mti waveforms, implementation errors effects, A/d converters, effect of a/d converters on detection, special doppler processing for airborne radars.

  16. Sidelobe Canceller (Slc) -- Adaptive algorithms, constant false alarm rate (cfar) processor, multiple sidelobe cancellers (mslc), Optimum array and doppler processing.

  17. Modern Spectral Estimation and Super Resolution.

If this course is not on the current schedule of open enrollment courses and you are interested in attending this or another course as an open enrollment, please contact us at (410) 956-8805 or ati@aticourses.com. Please indicate the course name, number of students who wish to participate. and a preferred time frame. ATI typically schedules open enrollment courses with a 3-5 month lead time. For on-site pricing, you can use the request an on-site quote form, call us at (410) 956-8805, or email us at ati@aticourses.com.

Instructors

Dr. Bassem R. Mahafza is the president and founder of deciBel Research Inc. He is a recognized Subject Matter Expert and is widely known for his three textbooks: Introduction to Radar Analysis, Radar Systems Analysis and Design Using MATLAB, and MATLAB Simulations for Radar Systems Design. Dr. Mahafza’s background includes extensive work in the areas of Radar Technology, Radar Design and Analysis (including all sensor subcomponents), Radar Simulation and Model Design, Radar Signatures and Radar Algorithm Development (especially in the areas of advanced clutter rejection techniques and countermeasures). Dr. Mahafza has published over 65 papers, and over 100 technical reports.


Dr. Andy Harrison

Dr. Andy Harrison is a Systems Analyst at Delta Research. He has extensive experience in the testing, simulation and analysis of radar systems and subsystems. Dr. Harrison also has experience in the development and testing of advanced radar algorithms, including track correlation and SAR imaging. Dr. Harrison led the utilization and anchoring of open source radar models and simulations for integration into end-to-end simulations. Responsibilities included development of tools for radar simulation and visualization of radar operational scenarios. Dr. Harrison has also developed genetic algorithm and particle swarm algorithms for the adaptive nulling and pattern correction of phased array antennas, and serves as an associate editor for the Applied Computational Electromagnetics Society.

Contact these instructors (please mention course name in the subject line)

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