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Model for spatial-correlated clutter and its application to temporal-spatial correlated clutter

机译:空间相关杂波模型及其在时空相关杂波中的应用

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Time-correlated clutter simulation based on the zero memory non-linearity transformation (ZMNL) and spherically invariant process (SIRP) suffers from spectrum expansion, and spatial-correlated clutter simulations may suffer from calculation complexity. To overcome these drawbacks, a new method of modelling and simulation of temporal-spatialcorrelated clutter is proposed, based on the weighted norm in discrete complex linear space and a simple matrix transformation. Time-correlated clutter sequences with exact spectra can be generated by this algorithm through solving the minimum discrete weighted norm; whereas the spatial-correlated clutter can be generated by simple linear matrix transformations without complex calculations. It is shown that temporal-spatial-correlated clutter can be exactly and simply generated by the proposed method. Numerical simulation results show the feasibility and accuracy of this method.
机译:基于零存储非线性变换(ZMNL)和球不变过程(SIRP)的时间相关杂波模拟会受到频谱扩展的影响,而与空间相关的杂波模拟可能会受到计算复杂性的影响。为了克服这些缺点,基于离散复线性空间中的加权范数和简单矩阵变换,提出了一种时空相关杂波建模与仿真的新方法。通过求解最小离散加权范数,该算法可以生成具有精确频谱的时间相关杂波序列。而空间相关的杂波可以通过简单的线性矩阵变换来生成,而无需复杂的计算。结果表明,所提方法可以准确,简单地产生时空相关的杂波。数值仿真结果表明了该方法的可行性和准确性。

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