Radar Signal Analysis and Processing with MATLAB Training
Course Authors
Radar Signal Analysis and Processing with MATLAB Training Hands-on (Online, Onsite, and Classroom Live)
| Commitment | 3 days, 7-8 hours a day. |
| Language | English |
| User Ratings | Average User Rating 4.8 See what learners said |
| Price | $2,995.00 |
| Delivery Options | Instructor-Led Onsite, Online, and Classroom Live |
COURSE OVERVIEW
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 with an expert instructor
- Radar Signal Analysis & Processing with MATLAB Electronic Course Guide
- Certificate of Completion
- 100% Satisfaction Guarantee
RESOURCES
- Radar Signal Analysis & Processing with MATLAB – https://www.wiley.com/
- Radar Signal Analysis & Processing with MATLAB – https://www.packtpub.com/
- Radar Signal Analysis & Processing with MATLAB – 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
ADDITIONAL INFORMATION
COURSE 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.
CUSTOMIZE IT
- We can adapt this Radar Signal Analysis & Processing with MATLAB course to your group’s background and work requirements at little to no added cost.
- If you are familiar with some aspects of this Radar Signal Analysis & Processing with MATLAB course, we can omit or shorten their discussion.
- We can adjust the emphasis placed on the various topics or build the Radar Signal Analysis & Processing with MATLAB course around the mix of technologies of interest to you (including technologies other than those included in this outline).
- If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the Radar Signal Analysis & Processing with MATLAB course in a manner understandable to lay audiences.
AUDIENCE/TARGET GROUP
The target audience for this Radar Signal Analysis & Processing with MATLAB course:
- All
CLASS PREREQUISITES
The knowledge and skills that a learner must have before attending this Radar Signal Analysis and Processing with MATLAB course are:
- Basic technical knowledge
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, 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.
