Physics-Based Clutter Model For Geosynchronous Synthetic Aperture Radar

Abstract

In this paper the land clutter literature is briefly discussed and a need for a new class of clutter models for the Geosynchronous Synthetic Aperture Radar System Performance Assessment is shown. A new physics-based clutter model that uses data on observed vegetation motion is introduced and a wheat database is presented together with an analysis of the plant motion statistics. After this, the characteristics of the new model are outlined. Then the analysis of the wheat signal is developed for all the available data, and subsequently the properties of the moving target signal are related to a more ideal plant motion. Finally, the obtained model for the target coherent power is illustrated together with the future work needed to complete the clutter model. This approach, developed for the Geosynchronous Synthetic Aperture Radar performance estimation, promises a versatile model suitable for a wide range of SAR systems.