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Game theoretic approach for polarimetric MIMO radar waveform design

机译:极化MIMO雷达波形设计的博弈论方法

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Polarimetric radar systems allow the flexibility of transmitting arbitrarily polarized waveforms that match the scattering profiles of the target. Since different types of targets have varying profiles, the advantages of a polarimetric radar system can fully be exploited only when the type of target is accurately estimated. However, accurate estimation requires a significant amount of training data, which can be expensive. We propose a polarimetric design scheme for distributed Multiple Input Multiple Output (MIMO) radar target detection. We formulate the selection of transmit polarizations using a game theoretic framework by examining the impact of all possible transmit schemes on the detection performance with different available target profiles. This approach does not require training data, and we show a significant performance improvement due to the polarimetric design.
机译:极化雷达系统允许灵活地传输与目标的散射曲线相匹配的任意极化波形。由于不同类型的目标具有不同的轮廓,因此只有在精确估计目标类型时才能充分利用极化雷达系统的优势。但是,准确的估算需要大量的训练数据,这可能是昂贵的。我们提出了一种用于分布式多输入多输出(MIMO)雷达目标检测的极化设计方案。通过检查所有可能的传输方案对具有不同可用目标配置文件的检测性能的影响,我们使用博弈论框架制定了传输极化的选择。这种方法不需要训练数据,并且由于极化设计,我们显示出显着的性能改进。

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