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Adaptive Pulse Shaped CP-OFDM for Remote Sensing Satellites

机译:用于遥感卫星的自适应脉冲形CP-OFDM

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This paper studies the feasibility of using adaptive pulse shaping CP-OFDM in remote sensing satellites. A set of pulse shapes were generated using genetic algorithm that minimizes the mean square error of the timing offset estimator. These pulse shapes were used to train function approximation neural networks. Such neural networks make the use of adaptive pulse shaping in OFDM systems feasible. Results from neural networks simulation, which have shown the ability of neural networks to fulfill such function for a two ray model channels, are presented.
机译:本文研究了在遥感卫星中使用自适应脉冲整形CP-OFDM的可行性。使用遗传算法生成一组脉冲形状,其最小化定时偏移估计器的平均误差。这些脉冲形状用于培训函数近似神经网络。这种神经网络在不可行的OFDM系统中使用自适应脉冲整形。提出了神经网络仿真的结果,这表明了神经网络满足两个射线模型通道的这种功能的能力。

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