Airborne Radar Systems

Course #EC4640

Est.imated Completion Time: 3 months

Overview

The main objective of this course is to discuss concepts and digital signal processing techniques involved in modern airborne radars, which detect targets in presence of large ground clutter and other interferences. Radar waveform (or modes) are treated as continuous wave (CW), high pulse repetition frequency (HPRF), medium pulse repetition frequency (MPRF), and low pulse repetition frequency (LPRF). Practical implementation and the signal processing associated with each mode will be elaborated. Advantages and limitations of each mode shall be discussed. Military applications of these modes will be discussed in the existing airborne and surface based radar systems. Concepts and algorithms are covered for digital pulse compression, MTI clutter cancellation, Doppler processing, constant false alarm rate (CFAR) detection, ambiguity resolution, synthetic array radar (SAR) processing and other associated techniques and algorithms.

Included in degrees & certificates

  • 592

Prerequisites

  • EC4610

Learning Outcomes

·       Understand the concepts and digital signal processing techniques involved in modern airborne radars.

·       Understand how they detect targets in presence of large ground clutter and other interferences.

·       Calculate the radar waveforms (or modes) as continuous wave (CW), high pulse repetition frequency (HPRF), medium pulse repetition frequency (MPRF), and low pulse repetition frequency (LPRF).

·       Give practical implementation and the signal processing associated with each mode.

·       Detail the advantages and limitations of each mode.

·       Identify the military applications of these modes.

·       Understand the concepts and algorithms for digital pulse compression, MTI clutter cancellation, Doppler processing, constant false alarm rate (CFAR) detection, ambiguity resolution, synthetic array radar (SAR) processing.

Offerings database access
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Application Deadlines

  •  08 Jul 2024

    Fall Quarter applications due

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Academic Calendar

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