Radar Systems Design and Engineering Training
Radar Systems Design and Engineering Training Course – Hands-on
This Radar Systems Design and Engineering Training covers radar functionality, architecture, and performance. Fundamental radar issues such as transmitter stability, antenna pattern, clutter, jamming, propagation, target cross section, dynamic range, receiver noise, receiver architecture, waveforms, processing, and target detection are treated in detail within the unifying context of the radar range equation, and examined within the contexts of surface and airborne radar platforms and their respective applications.
Advanced topics such as pulse compression, electronically steered arrays, and active phased arrays are covered, together with the related issues of failure compensation and autocalibration. The fundamentals of multi-target tracking principles are covered, and detailed examples of surface and airborne radars are presented. This Radar Systems Design and Engineering Training course is designed for engineers and engineering managers who wish to understand how surface and airborne radar systems work, and to familiarize themselves with pertinent design issues and the current technological frontiers.
Radar Systems Design and Engineering Training Course – Customize it
- We can adapt this Radar Systems Design and Engineering Training 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 Systems Design and Engineering Training course, we can omit or shorten their discussion.
- We can adjust the emphasis placed on the various topics or build the Radar Systems Design and Engineering Training 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 Systems Design and Engineering Training course in manner understandable to lay audiences.
Radar Systems Design and Engineering Training – Audience/Target Group:
The target audience for this Radar Systems Design and Engineering Training course:
- Technical managers
- Logistics and support
Radar Systems Design & Engineering Training Course – Objectives:
Upon completing this Radar Systems Design and Engineering Training course, learners will be able to meet these objectives:
- What are radar subsystems.
- How to calculate radar performance.
- Key functions, issues, and requirements.
- How different requirements make radars different.
- Operating in different modes & environments.
- ESA and AESA radars: what are these technologies, how they work, what drives them, and what new issues they bring.
- Issues unique to multifunction, phased array, radars.
- State-of-the-art waveforms and waveform processing.
- How airborne radars differ from surface radars.
- Today’s requirements, technologies & designs.
Radar Systems Design and Engineering Training – Course Content
Day 1 – Part I: Radar and Phenomenology Fundamentals
- Introduction. Radar systems examples. Radar ranging principles, frequencies, architecture, measurements, displays, and parameters. Radar range equation; radar waveforms; antenna patterns, types, and parameters.
- Noise in Receiving Systems and Detection Principles. Noise sources; statistical properties. Radar range equation; false alarm and detection probability; and pulse integration schemes. Radar cross section; stealth; fluctuating targets; stochastic models; detection of fluctuating targets.
- CW Radar, Doppler, and Receiver Architecture. Basic properties; CW and high PRF relationships; dynamic range, stability; isolation requirements, techniques, and devices; superheterodyne receivers; in-phase and quadrature receivers; signal spectrum; spectral broadening; matched filtering; Doppler filtering; Spectral modulation; CW ranging; and measurement accuracy.
- Radio Waves Propagation. The pattern propagation factor; interference (multipath,) and diffraction; refraction; standard refractivity; the 4/3 Earth approximation; sub-refractivity; super refractivity; trapping; propagation ducts; littoral propagation; propagation modeling; attenuation.
- Radar Clutter and Detection in Clutter. Volume, surface, and discrete clutter, deleterious clutter effects on radar performance, clutter characteristics, effects of platform velocity, distributed sea clutter and sea spikes, terrain clutter, grazing angle vs. depression angle characterization, volume clutter, birds, Constant False Alarm Rate (CFAR) thresholding, editing CFAR, and Clutter Maps.
Day 2 – Part II: Clutter Processing, Waveform, and Waveform Processing
- Clutter Filtering Principles. Signal-to-clutter ratio; signal and clutter separation techniques; range and Doppler techniques; principles of filtering; transmitter stability and filtering; pulse Doppler and MTI; MTD; blind speeds and blind ranges; staggered MTI; analog and digital filtering; notch shaping; gains and losses. Performance measures: clutter attenuation, improvement factor, subclutter visibility, and cancellation ratio. Improvement factor limitation sources; stability noise sources; composite errors; types of MTI.
- Radar Waveforms. The time-bandwidth concept. Pulse compression; Performance measures; Code families; Matched and mismatched filters. Optimal codes and code families: multiple constraints. Performance in the time and frequency domains; Mismatched filters and their applications; Orthogonal and quasi-orthogonal codes; Multiple-Input- Multiple-Output (MIMO) radar; MIMO waveforms and MIMO antenna patterns.
Part 3: ESA, AESA, and Related Topics
- Electronically Scanned Radar Systems. Fundamental concepts, directivity and gain, elements and arrays, near and far field radiation, element factor and array factor, illumination function and Fourier transform relations, beamwidth approximations, array tapers and sidelobes, electrical dimension and errors, array bandwidth, steering mechanisms, grating lobes, phase monopulse, beam broadening, examples.
- Active Phased Array Radar Systems. What are solid state active arrays (SSAA), what advantages do they provide, emerging requirements that call for SSAA (or AESA), SSAA issues at T/R module, array, and system levels, digital arrays, future direction.
- Multiple Simultaneous Beams. Why multiple beams, independently steered beams vs. clustered beams, alternative organization of clustered beams and their implications, quantization lobes in clustered beams arrangements and design options to mitigate them.
Part 4: Applications
- Surface Radar. Principal functions and characteristics, nearness and extent of clutter, effects of anomalous propagation, the stressing factors of dynamic range, signal stability, time, and coverage requirements, transportation requirements and their implications, sensitivity time control in classical radar, the increasing role of bird/angel clutter and its effects on radar design, firm track initiation and the scan-back mechanism, antenna pattern techniques used to obtain partial relief.
- Airborne Radar. Frequency selection; Platform motion effects; iso-ranges and iso-Dopplers; antenna pattern effects; clutter; reflection point; altitude line. The role of medium and high PRF’s in lookdown modes; the three PRF regimes; range and Doppler ambiguities; velocity search modes, TACCAR and DPCA.)
- Synthetic Aperture Radar. Principles of high resolution, radar vs. optical imaging, real vs. synthetic aperture, real beam limitations, simultaneous vs. sequential operation, derivations of focused array resolution, unfocused arrays, motion compensation, range-gate drifting, synthetic aperture modes: real-beam mapping, strip mapping, and spotlighting, waveform restrictions, processing throughputs, synthetic aperture ‘monopulse’ concepts.
- Multiple Target Tracking. Definition of Basic terms. Track Initiation: Methodology for initiating new tracks; Recursive and batch algorithms; Sizing of gates for track initiation. M out of N processing. State Estimation & Filtering: Basic filtering theory. Least-squares filter and Kalman filter. Adaptive filtering and multiple model methods. Use of suboptimal filters such as table look-up and constant gain. Correlation & Association: Correlation tests and gates; Association algorithms; Probabilistic data association and multiple hypothesis algorithms.