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ATI's Radar Systems Analysis & Design using MATLAB
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Summary:
This course provides a comprehensive
description of radar systems analyses and design.
A design case study is introduced and as the
material coverage progresses throughout the
course, and new theory is presented, requirements
for this design case study are changed and / or
updated, and the design level of complexity is also
increased. This design process is supported with a
comprehensive set of MATLAB-7 code developed
for this purpose. By the end, a comprehensive
design case study is accomplished. This will serve
as a valuable tool to radar engineers in helping
them understand radar systems design process.
Each student will receive the instructor’s
textbook MATLAB Simulations for Radar Systems
Design as well as course notes.
Instructor:
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.
What you will learn:
- How to select different radar parameters to meet
specific design requirements.
- Perform detailed trade-off analysis in the context of
radar sizing, modes of operations, frequency selection,
waveforms and signal processing.
- Establish and develop loss and error budgets associated
with the design.
- Generate an indepth understanding of radar operations
and design philosophy.
- Several mini design case studies pertinent to different
radar topics will enhance understanding of radar design
in the context of the material presented.
Course Outline:
- Radar Basics: Radar Classifications; Range; Range Resolution; Doppler
Frequency; The Radar Equation; Radar Reference Range; Search
(Surveillance); Pulse Integration; Detection Range with Pulse Integration;
Radar Losses; Range and Doppler Ambiguities; Resolving Range
Ambiguity; Resolving Doppler Ambiguity; “MyRadar” Design Case
Study - Visit 1.
- Radar Detection: Detection in the Presence of Noise; Probability of False
Alarm; Probability of Detection; Coherent Integration; Non-Coherent
Integration; Detection of Fluctuating Targets; Threshold Selection;
Probability of Detection Calculation; Detection of Swerling Targets; The
Radar Equation Revisited; “MyRadar” Design Case Study - Visit 2.
- Radar Waveforms: Low Pass, Band Pass Signals and Quadrature
Components; The Analytic Signal; CW and Pulsed Waveforms; Linear
Frequency Modulation Waveforms; High Range Resolution; Stepped
Frequency Waveforms; Range Resolution and Range Ambiguity; Effect of
Target Velocity; The Matched Filter; Matched Filter Response to LFM
Waveforms; Waveform Resolution and Ambiguity; “Myradar” Design
Case Study - Visit 3.
- The Radar Ambiguity Function: Examples of the Ambiguity Function;
Single Pulse Ambiguity Function; LFM Ambiguity Function; Coherent
Pulse Train Ambiguity Function; Ambiguity Diagram Contours; Digital
Coded Waveforms; Frequency Coding (Costas Codes); Binary Phase
Codes; Pseudo-Random (PRN) Codes; “MyRadar” Design Case Study -Visit
4.
- Pulse Compression: Time-Bandwidth Product; Radar Equation with Pulse
Compression; LFM Pulse Compression; Correlation Processor; Stretch
Processor; “MyRadar” Design Case Study - Visit 5.
- Surface and Volume Clutter: Clutter Definition; Surface Clutter; Radar
Equation for Area Clutter - Airborne Radar; Radar Equation for Area
Clutter - Ground Based Radar; Volume Clutter; Radar Equation for
Volume Clutter; Clutter Statistical Models; “MyRadar” Design Case Study
- Visit 6.
- Phased Arrays: Directivity, Power Gain, and Effective Aperture; Near and
Far Fields; General Arrays; Linear Arrays; Array Tapering; Computation of
the Radiation Pattern via the DFT; Planar Arrays; Array Scan Loss;
“MyRadar” Design Case Study - Visit 7.
- Electronic Countermeasures: Jammers; Self-Screening Jammers (SSJ);
Stand-Off Jammers (SOJ); Range Reduction Factor; Chaff.
- Radar Cross Section (RCS): RCS Definition; RCS Prediction Methods;
Dependency on Aspect Angle and Frequency; RCS Dependency on
Polarization; Polarization; RCS of Simple Objects; Sphere; Ellipsoid;
Circular Flat Plate; Truncated Cone (Frustum); Cylinder; Rectangular Flat
Plate; Triangular Flat Plate.
- Radar Wave Propagation (time permitting): Earth Atmosphere;
Refraction; Stratified Atmospheric Refraction Model; Four-Third Earth
Model; Ground Reflection; Smooth Surface Reflection Coefficient; Rough
Surface Reflection; Total Reflection Coefficient; The Pattern Propagation
Factor; Flat Earth; Spherical Earth.
This course will serve as a valuable source to radar system engineers and will provide a
foundation for those working in the field who need to investigate the basic fundamentals in a
specific topic. It provides a comprehensive day-to-day radar systems design reference.
Tuition:
Tuition for this four-day course is $1695 per person at one of our scheduled public courses. Onsite pricing is available. Please call us at 410-956-8805 or send an email to ati@ATIcourses.com.
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