Practical joint domain localised adaptive processing in homogeneous and nonhomogeneous environments. Part 2: Nonhomogeneous environments
Practical joint domain localised adaptive processing in homogeneous and nonhomogeneous environments. Part 2: Nonhomogeneous environments
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DOI：
10.1049/ip-rsn:20000085
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发表时间：
2000-04-01
期刊：
影响因子：
--
通讯作者：
Wicks, MC
中科院分区：
文献类型：
--
作者：
Adve, RS;Hale, TB;Wicks, MC
本文的第二部分讨论了非均匀环境下的空时自适应处理（STAP）。本文介绍了一种新的二维非统计的直接数据域（D（3））STAP算法，以及这种D（3）方法与联合域局部化（JDL）算法的混合。D（3）算法取代了第1部分中使用的非自适应变换，从而抑制了离散干扰。角度-多普勒域中的第二阶段统计处理抑制残余相关干扰。这种新的两阶段混合STAP技术允许在确定为非均匀的距离单元内应用JDL算法。这里的发展在很大程度上借鉴了本文第一部分提出的公式。所提出的工作汇集了STAP研究的两个不同方面：统计和D（3）处理。在这样做的过程中，这项研究fulifils在实际STAP的背景下，特别是基于知识的算法的一个重要需求。所设想的系统使用多遍处理来确定关于干扰场景的关键信息。根据干扰的均匀性，可以使用本文第1部分或第2部分中的算法。
The second part of this two-part paper deals with space-time adaptive processing (STAP) in nonhomogeneous environments. This paper introduces a new two-dimensional nonstatistical, direct data domain (D(3)) STAP algorithm and a hybridisation of this D(3) approach with the joint domain localised (JDL) algorithm. The D(3) algorithm replaces the non-adaptive transform used in Part 1 thereby suppressing discrete interference. A second stage of statistical processing in the angle-Doppler domain suppresses residual correlated interference. This new two-stage hybrid STAP technique allows for the application of the JDL algorithm within range cells determined to be nonhomogeneous. The development here draws heavily on the formulation presented in Part 1 of this paper. The work presented brings together two different aspects of STAP research: statistical and D(3) processing. In doing so, this research fuIfils an important need in the context of practical STAP, particularly knowledge-based algorithms. The envisioned system uses multi-pass processing to determine key information regarding the interference scenario. Depending on the homogeneity of the interference, the algorithm in Part 1 or that in Part 2 of the paper may be used.