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首页> 外文会议>2002 Antenna Applications Symposium Sep 18-20, 2002 Monticello, Illinois >ADAPTIVE PROCESSING USING A DIRECT DATA DOMAIN APPROACH FROM SINGLE SNAPSHOT OF DATA IN THE PRESENCE OF NEAR FIELD SCATTERERS
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ADAPTIVE PROCESSING USING A DIRECT DATA DOMAIN APPROACH FROM SINGLE SNAPSHOT OF DATA IN THE PRESENCE OF NEAR FIELD SCATTERERS

机译：在近场散射的情况下，使用单个数据快照的直接数据域方法进行自适应处理

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Conventional adaptive techniques generally deal with antenna arrays that consist of omni directional isotropic radiating elements uniformly spaced. When the uniformity in the spacing is relaxed one then needs multiple snapshots in estimating the complex amplitude of the signal of interest (SOI) arriving from a known direction in the presence of multipaths, clutter and thermal noise. Usually a statistical methodology is used for the adaptive process which makes it difficult to incorporate the various electromagnetic effects like mutual coupling between the elements, presence of near field scatterers and so on and obtain a real time solution in a dynamic environment where the interference scenario may change from snap shot to snap shot. The object of this article is to present an adaptive methodology that can not only deal with realistic antenna elements operating in a real environment but can also handle the effects of mutual coupling between the antenna elements. In addition, one can incorporate in this methodology the effects of near field scatterers and use of dissimilar antenna elements in the array. The analysis is carried out by using a dynamic electromagnetic analysis tool. In addition, an array transformation technique is used to mitigate the various complex electromagnetic effects in a non-uniformly spaced non-planar array in the presence of the mutual coupling and transform the problem to that of a virtual linear array of uniformly spaced omni directional isotropic point radiators operating in free space. The preprocessed data from the interpolated virtual array is analyzed using a direct data domain least squares approach utilizing a single snapshot of data to estimate the strength of the signal of interest arriving from a known direction in the presence of coherent strong jammers, clutter and thermal noise. In addition, this methodology is quite amenable to real time processing. Thus this adaptive methodology is split into two parts. First one uses an electromagnetic analysis tool in conjunction with an interpolation algorithm to transform the induced voltages in the real antenna elements due to the presence of mutual coupling and near field scatterers to that of a virtual array containing isotropic omni directional point radiators. Then a direct data domain least square method is applied to the pre processed data to obtain the desired signal strength in the presence of strong interferers, clutter and thermal noise. Numerical results are represented to illustrate the efficiency and accuracy of this method. No attempt has been made to cite the earlier references; the bibliography provides a list where supplemental information may be available.
机译：常规的自适应技术通常处理由均匀间隔的全向各向同性辐射元件组成的天线阵列。当间距的均匀性得到放松时，在估计存在多径，杂波和热噪声的情况下，从已知方向到达的感兴趣信号（SOI）的复杂幅度时，需要多个快照。通常，自适应过程使用统计方法，这使得难以合并各种电磁效应，例如元素之间的相互耦合，近场散射体的存在等，并难以在可能发生干扰情况的动态环境中获得实时解决方案。从快照更改为快照。本文的目的是提供一种自适应方法，该方法不仅可以处理在实际环境中工作的实际天线元件，而且可以处理天线元件之间相互耦合的影响。另外，可以将近场散射的影响和阵列中不同天线元件的使用结合到该方法中。使用动态电磁分析工具进行分析。另外，在相互耦合的情况下，使用阵列变换技术来缓解非均匀间隔非平面阵列中各种复杂的电磁效应，并将问题转化为均匀间隔全向各向同性的虚拟线性阵列点散热器在自由空间中运行。使用直接数据域最小二乘法分析来自插值虚拟阵列的预处理数据，该方法使用数据的单个快照来估计在存在相干强干扰，杂波和热噪声的情况下从已知方向到达的感兴趣信号的强度。此外，这种方法非常适合实时处理。因此，这种自适应方法分为两个部分。第一种方法是将电磁分析工具与插值算法结合使用，以将由于存在互耦合和近场散射体而导致的实际天线元件中的感应电压转换为包含各向同性全向点辐射器的虚拟阵列的感应电压。然后，在存在强烈干扰，杂波和热噪声的情况下，将直接数据域最小二乘法应用于预处理数据，以获得所需的信号强度。数值结果表明了该方法的有效性和准确性。没有尝试引用以前的参考文献；参考书目提供了可能提供补充信息的列表。

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