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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Parametric Adaptive Matched Filter for Multistatic MIMO Radar
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Parametric Adaptive Matched Filter for Multistatic MIMO Radar

机译：多静态MIMO雷达的参数自适应匹配滤波器

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摘要

A fully distributed MIMO radar system can be treated in terms of all bistatic pairs. If a bistatic pair in a distributed MIMO radar system employs multiple transmit and receive elements in a phased array configuration, this increases the dimensionality of the data received over a coherent processing interval, which in turn increases the training data needed to reliably estimate the covariance matrix. This problem is exacerbated by the heterogeneity of training data arising from the bistatic geometry, which further degrades the quality of the covariance matrix estimate used for adaptive detection, resulting in a deleterious impact on space-time adaptive processing performance. To address these issues, we develop a parametric approximation to a physics-based clutter model, which approximates the physical characteristics of a variety of different real world clutter environments, and is especially useful in modeling clutter scenarios encountered in distributed MIMO radar. We show that clutter can be approximated as a multichannel autoregressive process of model order 4. This allows us to reduce the training data requirements and minimize the effects of training data heterogeneity on the detection performance. We demonstrate our results through simulation.
机译：完全分布式MIMO雷达系统可以按照所有双基地对来对待。如果分布式MIMO雷达系统中的双基地对采用相控阵配置中的多个发射和接收元素，则这会增加在相干处理间隔内接收到的数据的维数，进而增加可靠估计协方差矩阵所需的训练数据。由双基地几何产生的训练数据的异质性加剧了这个问题，这进一步降低了用于自适应检测的协方差矩阵估计的质量，从而对时空自适应处理性能产生有害影响。为了解决这些问题，我们开发了基于物理的杂波模型的参数逼近，该模型近似于各种不同的现实世界杂波环境的物理特性，在建模分布式MIMO雷达遇到的杂波场景时特别有用。我们表明，杂波可以近似为模型阶数为4的多通道自回归过程。这使我们可以减少训练数据的需求，并最大程度地减少训练数据异质性对检测性能的影响。我们通过仿真演示了我们的结果。

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