Radar Signal Analysis & Processing with MATLAB Training
Radar Signal Analysis & Processing with MATLAB Training Course Description
This three-day 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 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.
• 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 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 degradation of another parameter. From this course you will learn evaluation criteria to aid in choosing desirable choices.
With onsite Training, courses can be scheduled on a date that is convenient for you, and because they can be scheduled at your location, you don’t incur travel costs and students won’t be away from home. Onsite classes can also be tailored to meet your needs. You might shorten a 5-day class into a 3-day class, or combine portions of several related courses into a single course, or have the instructor vary the emphasis of topics depending on your staff’s and site’s requirements.
Radar System Fundamentals.
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.
System Performance Equations.
Resolution — Measurement accuracy and ambiguity.
Tracking Radar Techniques.
Waveforms and Matched Filtering.
Very Wideband Lfm Waveforms.
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 errors effects, A/d converters, 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.
Whether you are looking for general information or have a specific question, we want to help
Request More Information