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Parametric Adaptive Matched Filter Applied toForward Looking Radar

机译:参数自适应匹配滤波器应用于前视雷达

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This paper applies several Space-Time AdaptiveProcessing (STAP) methods to forward looking linear arrays.Traditionally, STAP focuses on the side looking array case,where clutter is consider range independent and a linearrelationship between the clutter Doppler frequencies and thesine of the azimuth exists. This relationship does not existfor forward looking radar. Additionally, mainbeam clutter isrange dependent and may result in multiple clutter notchesdue to range ambiguities. This range dependency corruptsthe independent, identically distributed (iid) assumption requiredfor the samples used in interference estimation. Thisassumption can still be applied for a small data set, e.g., smallrange extent. Therefore, partially adaptive techniques withextremely small sample support requirements are required.Several techniques are evaluated with the Parametric AdaptiveMatched Filter offering a unique advantage, near fulladaptivity with extremely small sample support, evidencedby its excellent performance relative to the other methodsconsidered. This paper characterizes the performance associatedwith operating a forward looking radar.
机译:本文应用了几种时空自适应 处理(STAP)方法以向前看线性阵列。 传统上,STAP专注于侧面阵列机箱, 杂波被认为是范围独立且线性的 杂波多普勒频率与 方位角的正弦存在。此关系不存在 用于前视雷达。另外,主光束杂波是 取决于范围,可能会导致出现多个混乱的缺口 由于范围不明确。此范围依赖项损坏 所需的独立的,均布的(iid)假设 用于干扰估计的样本。这 假设仍然可以应用于较小的数据集,例如 范围范围。因此,部分自适应技术具有 需要非常小的样本支持要求。 使用参数自适应对几种技术进行了评估 匹配过滤器具有独特的优势,接近满负荷 具有极小的样品支持的适应性,证明 相对于其他方法,其优异的性能 经过考虑的。本文描述了与之相关的性能 与操作前瞻性雷达。

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