快速多波束直接数据域遗传算法波束形成方法的时空自适应处理

M. M. Hassan
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引用次数: 0

摘要

时空自适应处理和遗传算法的计算量很大。因此,结合两者的处理方案可能不适合实时应用程序。本文提出了一种新的快速多波束直接数据域遗传算法波束形成的时空自适应处理方法,与其他基于遗传算法的技术相比,该方法大大减少了必要的计算量。用均匀间隔的实天线阵列单元测试了该方法的性能。分别用矩量法和变换矩阵法评估和消除了阵列元素之间的相互耦合效应。用矩阵铅笔法估计了所有信号的到达方向和强度。最后,将遗传算法用于波束形成,并通过数值算例评估了形成的波束图同时重构多个感兴趣信号的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast multiple-beams direct data domain genetic algorithm beam-forming approach to space-time adaptive processing
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.
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