This course provides training on theoretical, design and practical aspects of current radar systems design and applications introducing a wide variety of commercial and government radar applications.
Devevlop an overall understanding of theoretical, design, and practical aspects of current radar systems design and applications
Evaluate radar signal spectral analysis and describe statistical detection theory, antenna design, receivers, transmitters, waveform design, and information extraction from processed signals
Identify a wide variety of commercial and government radar applications, including space-based, police, weather, altimeter, air traffic control, and search-and-rescue radar
Describe military radar applications, including multiple target detection and tracking, air combat acquisition, early warning, control and missile guidance
Explore and apply synthetic array radar (SAR) techniques
Describe Matlab, MathCad, System View, and other software simulation demonstrations for the analysis and solution of radar problems (not required to use these programs)
About this course:
This course examines theoretical, design, and practical aspects of current radar systems design, as well as radar applications. Instruction includes discussions of radar signal spectral analysis, statistical detection theory, antenna design, receivers, transmitters, waveform design, and information extraction from processed signals. The course covers a wide variety of commercial and government radar applications, including space-based, police, weather, altimeter, air traffic control, and search-and-rescue radar. Military radar applications, including multiple target detection and tracking, air combat acquisition, early warning and control, and missile guidance are also reviewed. Additionally, the course investigates synthetic array radar (SAR) techniques.
Prerequisites
BS in engineering, math, science, or other technical area; or consent of instructor.
The instructor in this course will demonstrate the use of Matlab and other software tools for analysis, simulation, and problem solving. These tools are provided as part of the course fee as an option for student use and will not be part of the course grading criteria.
Enrollment limited; early enrollment advised. Enrollment deadline: Sep. 22
Refund Deadline
Refunds only available from July 29, 2024 to September 29, 2024
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