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A Novel Algorithm to Eliminate the Sidelobes for any Planar Antenna Arrays for High Quality Signals and Accurate Positioning and Tracking

机译:一种用于消除任何平面天线阵列的侧面的新算法,用于高质量信号和准确的定位和跟踪

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The sensor arrays have become an essential part in critical job applications like tracking, remote sensing and surveillance. These arrays lured many designers and manufacturers to integrate them as part of the modern systems because of their fascinating features like high speed of rotation, dynamic beamforming and lightweight Therefore, the arrays were implemented in deep space communication systems, tracking radars and high accuracy medical equipments. Despite the arrays superior features, they suffer from the sidelobes. These sidelobes are potential sources for unwanted signals that interfere with the desired source. Hence, the researchers, scholars and designers worked hardly to mitigate the deteriorating effect of the sidelobes. Their efforts were divided into either inventing new sampling windows with lower sidelobe levels (tapering), or modifying the array geometry, or optimizing the array weights for high mainlobe to sidelobe level or simply inducing a null in the direction of interference. Unfortunately, these solutions were temporary, or sometimes expensive, or need high computation power or may deform the original mainlobe leading to an increase Signal to Interference Ratio (SIR). Thus the search for an algorithm that is free of these disadvantages continues. This paper suggests a novel algorithm that provides a full solution for the sidelobes problem without the complications or drawbacks mentioned above. The algorithm is based on Sidelobe Level phase Inversion w.r.t Main Beam or shortly (SLIMB). This algorithm affords not just a solution for the sidelobes problem but also doubles the array gain and information contents in the main beam. This algorithm is independent of the array geometry or its type and can be installed to any system without expensive modifications or pre-requirements. This algorithm is well suited for Digitally Beam Formed Array (DBFA) and also can be installed for the analogue arrays. The algorithm was tested for Planar Periodic Antenna Array (PPAA) as well as for Planar Aperiodic Antenna Array (PAAA) generated using various methods such as random or ring concentric or fractal or chaotic array geometries. The results showed that the algorithm has eliminated the sidelobes and doubled the mainlobe gain without deforming the mainlobe.
机译:传感器阵列已成为关键的工作应用程序,如追踪,遥感和监视的重要组成部分。这些阵列吸引众多设计师和制造商将其整合为,因为他们迷人的功能,如高速旋转的动态波束形成和现代系统的一部分轻量级因此,阵列中的深空通信系统,跟踪雷达和高精度医疗设备中实现。尽管阵列优越的功能,它们来自旁瓣受到影响。这些旁瓣是与所期望的干扰源不想要的信号的潜在来源。因此,研究人员,学者和设计师的工作几乎没有减轻旁瓣的恶化效应。他们的努力被分为任一发明新的采样窗口与下旁瓣电平(逐渐变细),或修改所述阵列的几何形状,或优化高主瓣的阵列权重,以旁瓣电平或简单地诱导干扰的方向上具有零点。不幸的是,这些解决方案是暂时的,有时价格昂贵,或需要高计算能力或可变形的原始主瓣从而增加信号干扰比(SIR)。因此,搜索的算法,是免费的这些缺点的延续。本文提出一种新颖的算法,该算法提供了旁瓣问题,而无需上述的并发症或缺点的完整的解决方案。该算法是基于旁瓣电平倒相w.r.t主梁或不久(SLIMB)。该算法得到不只是为旁瓣问题的解决方案,但也加倍在基于主光束的阵列增益和信息内容。该算法是独立于阵列的几何形状或它的类型的,并且可以安装到任何系统,而无需昂贵的修改或前要求。这种算法非常适合于数字束来形成阵列(DBFA),也可以安装用于模拟阵列。该算法的平面周期天线阵列(PPAA)以及用于使用各种方法,诸如随机或环同心的或分形或混乱的阵列几何形状产生的平面非周期天线阵列(PAAA)进行测试。结果表明,该算法已经消除旁瓣和一倍而无需主瓣变形主瓣增益。

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