Introduction to Radar Using Python and MATLAB

This
comprehensive resource provides readers with the tools necessary to perform
analysis of various waveforms for use in radar systems. It provides information
about how to produce synthetic aperture (SAR) images by giving a tomographic
formulation and implementation for SAR imaging. Tracking filter fundamentals,
and each parameter associated with the filter and how each affects tracking
performance are also presented. Various radar cross section measurement
techniques are covered, along with waveform selection analysis through the
study of the ambiguity function for each particular waveform from simple linear
frequency modulation (LFM) waveforms to more complicated coded waveforms. The
text includes the Python tool suite, which allows the reader to analyze and
predict radar performance for various scenarios and applications. Also provided
are MATLAB(R) scripts corresponding to the Python tools. The software includes
a user-friendly graphical user interface (GUI) that provides visualizations of
the concepts being covered. Users have full access to both the Python and
MATLAB source code to modify for their application. With examples using the
tool suite are given at the end of each chapter, this text gives readers a
clear understanding of how important target scattering is in areas of target
detection, target tracking, pulse integration, and target discrimination.