This submission contains a set of scripts that reproduce the figures included in the seminal J.Ward's technical report on airborne STAP. This may be valuable to any STAP newcomer because it demonstrates the fundamental STAP concepts. It provides the path from mathematical formulas to crisp numerical results thus verifying the presented performance of various processing methods. Specifically, all figures from the following chapters have been reproduced:
Chapter 2: Airborne Array Radar Signal Environment.
Chapter 3: Space-Time Processing Fundamentals.
Chapter 5: Element-Space STAP.
Chapter 6: Beamspace STAP.
Chapter 7: Additional Performance Results.
In addition, the performance of the basic Sample Matrix Inversion (SMI) algorithm is demonstrated by few Monte-Carlo runs in Figure 29 reproduction script.
Ilias Konsoulas (2023). Space-Time Adaptive Processing for Airborne Radar by J.Ward (https://www.mathworks.com/matlabcentral/fileexchange/47750-space-time-adaptive-processing-for-airborne-radar-by-j-ward), MATLAB Central File Exchange. Recuperado .
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Ch.2 Airborne Array Radar Signal Environment
Ch.3 Space-Time Processing Fundamentals
Ch.5 Element-Space STAP
Ch.6 Beamspace STAP
Ch.7 Additional Performance Results
|Versión||Publicado||Notas de la versión|
Updated the MatLab version which I used to update the latest version.
I have prettified the code and corrected some typos. Also, I have modularized the repeatd sections of code into common scripts. I included a couple of clutter covariance matrix computation functions. I have published all the figures in html format.
I have used markup and cell programming to convert some matlab scripts to nice html format. Now the interested readers may see the resulting figures for chapters 2, 3 and 5.
Figures from chapters 5 and 6 have been added.
Correction of this submission's description text.