Radar Signal Analysis & Processing with MATLAB Training Workshop

Radar Signal Analysis & Processing with MATLAB Training 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 Radar Signal Analysis & Processing with MATLAB 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.

WHAT’S INCLUDED?

• 3 days of Radar Signal Analysis & Processing with MATLAB Training Workshop with an expert instructor
• Radar Signal Analysis & Processing with MATLAB Course Guide
• Certificate of Completion
• 100% Satisfaction Guarantee

RESOURCES

• Radar Signal Analysis & Processing with MATLAB Training – https://www.wiley.com/
• Radar Signal Analysis & Processing with MATLAB Training – https://www.packtpub.com/
• Radar Signal Analysis & Processing with MATLAB Training – https://store.logicaloperations.com/
• Radar Signal Analysis & Processing with MATLAB Training – https://us.artechhouse.com/
• Radar Signal Analysis & Processing with MATLAB Training – https://www.amazon.com/

RELATED COURSES

• Phased-Array Radar Systems Engineering Training
• Radar Systems Principles Training
• Radar Systems Analysis & Design Using MATLAB Training
• Radar Systems Design & Engineering Training
• Radar Systems Fundamentals Training
• Radar Technology Training Fundamentals

AUDIENCE/TARGET GROUP:

The target audience for this Radar Signal Analysis & Processing with MATLAB course:

• Engineers
• Technical managers
• Technicians
• Logistics and support
• Pilots
• Procurement

Objectives:

Upon completing this Radar Signal Analysis & Processing with MATLAB course, learners will be able to meet these objectives:

• 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 the 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 the degradation of another parameter. From this Radar Signal Analysis & Processing with MATLAB course you will learn evaluation criteria to aid in choosing desirable choices.

Radar Signal Analysis & Processing with MATLAB Workshop

Course Syllabus:

• Target Detection — Resolution and clutter.
• Maximum Detection — Range in noise, targets in clutter, jamming, and clutter.
• Horizon and Multipath — Effects on detection range.
• False Alarm — Probability effects, sensitivity, and cfar processors.
• System Parameter — Interrelations.
• Transmit/Receive Antennas.
• System Performance Equations.
• Resolution — Measurement accuracy and ambiguity.
• Tracking Radar Techniques.
• Waveforms and Matched Filtering.
• Very Wideband Lfm Waveforms.
• The reflector and Phased Array Antennas.
• Sidelobe Reduction — Weighting, effects of errors on sidelobe reduction, and earth effects on antenna patterns.
• Doppler Signal Processing — Stagger-coded mti waveforms, implementation error effects, A/d converters, the effect of a/d converters on detection, and special doppler processing for airborne radars.
• Sidelobe Canceller (Slc) — Adaptive algorithms, constant false alarm rate (cfar) processor, multiple sidelobe cancellers (mslc), Optimum array, and Doppler processing.
• Modern Spectral Estimation and Super Resolution.

Radar Signal Analysis & Processing with MATLAB Training Workshop Course Recap, Q/A, and Evaluations