Radar Fundamentals

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Description

Duration: 5 days

Prerequisites

  • Good background in Mathematics, Physics.
  • Some background in probability, random variables, and stochastic processes.
  • Basic knowledge of signal analysis, Fourier analysis, digital filter design, statistical decision theory, and estimation theory.
  • Basic knowledge of MATLAB programming.

Course format and dates

The course is given in five days over a week period, intensive format.

During the intensive five-day course, practical sessions also with the use of MATLAB will be interleaved with classic lectures. Practical sessions are intended to strengthen the understanding of the theory and are based on programming and running routines that implement algorithms that are explained during the lectures. The attendees will familiarize with the problems and will understand how to set system parameters to achieve desired performances.

The course can be reduced to two intensive days with a selection of the arguments offered in the five-day course.

Instructors

Prof. Maria Sabrina Greco – University of Pisa – [email protected]

Course description

The course starts with an introductory description of basic radar concepts and terms. The radar equation needed for the basic understanding of radar is then developed, along with the concept of radar cross-section. The lectures then focus on the general schemes of coherent and incoherent radar systems and on the statistical models of the target received signals. Some fundamentals on the detection theory and the Neyman-Pearson criterion are provided and the detection strategies of target signals embedded in correlated Gaussian disturbance are developed along with their performance.

After a lecture on the statistical modeling of clutter, the course will focus on the radar ambiguity function, pulse compression and Doppler processing (MTI and MTD).

The course is concluded by some basic concept on tracking and Kalman filtering.

Textbook

Principles of Modern Radar, Mark A. Richards, James A. Scheer, William A. Holm (Editors), Scitech, Raleigh, 2010.