Guerci presents engineers and practitioners with analysis tools for assessing the impact of
space-time adaptive processing (STAP) on radar applications, as well as a toolkit of STAP algorithms and techniques for adapting best practices to the implementation of STAP.
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Space-time adaptive processing (STAP) is a key technology for airborne surveillance radar system to detect moving tar gets in a strong interference environment [1].
Space-time adaptive processing (STAP) is considered an efficient tool for detection of slow targets by airborne radar systems in strong clutter environments [1-4].