Radar target detection, estimation, and tracking performance is frequently limited by "clutter," strong returns generated by the Earth's surface. Since the Second World War, considerable effort has been put into developing methods to suppress clutter returns or isolate them from targets, including moving target indication (MTI), Doppler processing, displaced phased center array (DPCA), and space-time adaptive processing (STAP). Tailoring these technologies to specific radars and modes, and implementing them on deployed radar systems, requires a deep understanding of clutter effects and faithful representation of clutter signals in high-fidelity modeling and simulation tools and hardware-in-the-loop testing environments. This course begins with a review of surface clutter phenomenology, and continues with a detailed discussion of clutter models commonly employed in radar performance prediction and hardware testing. It culminates by presenting options for real-time generation of synthetic clutter. Exercises are provided to help reinforce some of the basic concepts presented in the lectures.
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