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Fast multiple-beams direct data domain genetic algorithm beam-forming approach to space-time adaptive processing

机译:快速多光束直接数据域遗传算法的空时自适应处理的形成方法

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Space-time adaptive processing and genetic algorithms are computationally intensive. So, processing schemes combining both of them may not be considered suitable for real time applications. This study presents a new fast multiple-beams direct data domain genetic algorithm beam-forming approach to space-time adaptive processing which enormously reduces the necessary number of computations compared to other genetic-algorithm-based techniques. The performance of the proposed approach is tested using uniformly spaced real antenna array elements. Mutual coupling effects between array elements are evaluated and eliminated using the method of moments and transformation matrix method respectively. Directions of arrival as well as strengths of all coming signals are estimated by matrix pencil method. Finally, genetic algorithm is used for beamforming and the formed beam pattern capability to simultaneously reconstruct more than one (multiple) signal of interest is evaluated using numerical examples.
机译:时空自适应处理和遗传算法是计算密集的。因此,可以不认为组合它们的处理方案适用于实时应用。本研究提出了一种新的快速多梁直接数据域遗传算法波束形成方法,用于时空自适应处理,其与基于其他遗传算法的技术相比,这极大​​地降低了必要的计算数量。使用均匀间隔的真实天线阵列元件测试所提出的方法的性能。分别评估阵列元件之间的相互耦合效应和消除矩分别和转换矩阵方法的方法。矩阵铅笔方法估计到达方向以及所有即将到来的信号的优势。最后,使用数值示例评估遗传算法用于波束成形,并且使用数值示例评估与同时重建的形成波束图案能力多于一个(多个)感兴趣的信号。

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