GMTI数据立方生成Billingsley杂波模型的新实现

P. Mountcastle
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引用次数: 4

摘要

内部杂波运动(ICM)严重限制了STAP杂波抑制技术的有效性,例如在GMTI雷达监视应用中实现最小的最小可探测速度。为了以最大的保真度模拟这种效果,在构建数据立方体期间,必须在各个散射体的返回上留下所需的相关性。当杂波场景由数百万个单独的像素表征时,这样做会给仿真过程带来大量的计算负担。当使用高保真SAR地图作为杂波模型的基础时,这些数字是典型的。本文报道了一种快速的风吹杂波模拟计算技术,该技术在一个灵活的数据生成系统中工作,该系统使用真实的高保真IFSAR地图,并将共配高程数据作为地面真值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New implementation of the Billingsley clutter model for GMTI data cube generation
Internal clutter motion (ICM) places significant limits on the effectiveness of STAP clutter suppression techniques, for example in achieving the smallest minimum detectable velocity in GMTI radar surveillance applications. To simulate this effect with maximum fidelity, the required correlation must be impressed on the returns from individual scatterers during the construction of the data cube. Doing so can represent a substantial computational burden on the simulation process when a clutter scene is characterized by many millions of individual pixels. Such numbers are typical when using high fidelity SAR maps as the basis of the clutter model. The paper reports on a fast computational technique for wind-blown clutter simulation that works within a flexible data-generation system employing real high-fidelity IFSAR maps with co-registered elevation data as ground truth.
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