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Evaluation of Minimum Variance Distortionless Response Beamforming Algorithm Based Circular Antenna Arrays

机译:基于圆形天线阵列的最小方差无失真响应波束形成算法的评估

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Wireless data traffic is in a continuous growth, and there are increasing demands for wireless systems that provide deep interference suppression and noise mitigation. In this paper, adaptive beamforming (ABF) technique for Smart Antenna System (SAS) based on Minimum Variance Distortionless Response (MVDR) algorithm connected toCircular Antenna Array (CAA) is discussed and analyzed. The MVDR performance is evaluated by varying various parameters; namely the number of antenna elements, space separation between the elements, the number of interference sources, noise power label, and a number of snapshots. LTE networks allocate a spectrum band of 2.6 GHz is used for evaluating the MVDR performance. The MVDR performance is evaluated with two important metrics; beampattern and SINR. Simulation results demonstrate that as the antenna elements increase, the performance of the MVDR improves dramatically. This means the performance of MVDR greatly relies upon the number of the elements. Half of the wavelength is considered the best interelement spacing, the performance degraded as noise power increased, and more accurately resolution occurred when the number of snapshots increased. The proposed method was found to be performed better than some existing techniques. According to the result, the beampattern relies on the number of element and the separation between array elements. Also, the SINR strongly depends on noise power label and the number of snapshots.
机译:无线数据流量正在持续增长,并且对提供深度干扰抑制和噪声减轻功能的无线系统的需求不断增长。本文对基于圆形天线阵列(CAA)的最小方差无失真响应(MVDR)算法的智能天线系统(SAS)自适应波束成形(ABF)技术进行了讨论和分析。 MVDR性能是通过改变各种参数来评估的。即天线元件的数量,元件之间的间隔,干扰源的数量,噪声功率标签和快照数量。 LTE网络分配的2.6 GHz频谱用于评估MVDR性能。 MVDR性能通过两个重要指标进行评估: Beampattern和SINR。仿真结果表明,随着天线元件的增加,MVDR的性能将大大提高。这意味着MVDR的性能很大程度上取决于元素的数量。波长的一半被认为是最佳的元素间距,随着噪声功率的增加,性能会降低,并且当快照数量增加时,分辨率会更加准确。发现所提出的方法比某些现有技术执行得更好。根据结果​​,波束图依赖于元素数量和阵列元素之间的间隔。此外,SINR很大程度上取决于噪声功率标签和快照数量。

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