This Course is available in the following format:
Radar Training Fundamentals 101 Course Description
This four-day Radar Training Fundamentals 101 is designed for students that have a college level knowledge of mathematics and basic physics to gain the “big picture” as related to basic sensor and weapons theory. As in all disciplines knowing the vocabulary is fundamental for further exploration, this Radar Training Fundamentals 101 course strives to provide the physical explanation behind the vocabulary such that students have a working vernacular of naval weapons.
• We can adapt this Radar Training Fundamentals 101 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 Training Fundamentals 101 course, we can omit or shorten their discussion.
• We can adjust the emphasis placed on the various topics or build the Radar Training Fundamentals 101 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 Training Fundamentals 101 course in manner understandable to lay audiences.
Radar Training Fundamentals 101 – Objectives:
Upon completing this Radar Training 101 course, learners will be able to meet these objectives:
• What are radar systems, and how their intended applications control their spectrum and architecture
• What are the key radar parameters and how they’re selected
• What are the principal radar modes of operation
• Radar waves propagation in space and the effects thereof of atmospheric refractivity and surface conditions
• Radar wave scattering from targets and clutter
• The radar range equation
• Thermal noise and detection in thermal noise
• Radar subsystems, including antenna, transmitter, receiver, and digital processors
Radar Training Fundamentals 101 – Course Syllabus:
• Introduction: The general nature of radar: composition, block diagrams, photos, types and functions of radar, typical characteristics.
• The Physics of Radar: Electromagnetic waves and their vector representation. The spectrum bands used in radar. Radar waveforms. Scattering. Target and clutter behavior representations. Propagation: refractivity, attenuation, and the effects of the Earth surface.
• The Radar Range Equation: development from basic principles. The concepts of peak and average power, signal and noise bandwidth and the matched filter concept, antenna aperture and gain, system noise temperature, and signal detectability
• Thermal Noise and Detection in Thermal Noise: Formation of thermal noise in a receiver. System noise temperature (Ts) and noise figure (NF). The role of a low-noise amplifier (LNA). Signal and noise statistics. False alarm probability. Detection thresholds. Detection probability. Coherent and non-coherent multi-pulse integration.
• The Sub-Systems of Radar: Transmitter (pulse oscillator vs. MOPA, tube vs. solid state, bottled vs. distributed architecture), antenna (pattern, gain, sidelobes, bandwidth), receiver (homodyne vs. super heterodyne), signal processor (functions, front and back-end), and system controller/tracker. Types, issues, architectures, tradeoff considerations.
• Current accomplishments and concluding discussion.
Stan Silberman is a member of the Senior Technical Staff of the Applied Physics Laboratory. He has over 30 years of experience in tracking, sensor fusion, and radar systems analysis and design for the Navy, Marine Corps, Air Force, and FAA. Recent work has included the integration of a new radar into an existing multisensor system and in the integration, using a multiple hypothesis approach, of shipboard radar and ESM sensors. Previous experience has included analysis and design of multiradar fusion systems, integration of shipboard sensors including radar, IR and ESM, integration of radar, IFF, and time-difference-of-arrival sensors with GPS data sources, and integration of multiple sonar systems on underwater platforms.