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Error estimation in angle of arrival in smart antenna

机译:智能天线到达角度的误差估计

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Rapidly growing demand in mobile communication system required technology which will provide minimum errors and maximize SNR in a particular angle/direction. Smart antenna has a system for directed a beam towards desired angle/direction and suppress/cancel interference from undesired angle/direction. MUSIC (Multiple Signal Classification) has capability to estimate number of signals in an array and angle/direction of arrival of desired signal. ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) is used for the estimation of direction of arrival of multiple sets of identical doublets, provides parallel processing. This Paper provides comparative analysis and simulation of angle of arrival (AOA) estimation, and estimate error in AOA estimation. Relative results are useful for achieving optimal performance in smart antenna design
机译:在移动通信系统中的需求迅速增长,需要提供最小误差并以特定角度/方向最大化SNR。 智能天线具有用于指向朝向所需角度/方向的光束的系统,并抑制来自不希望的角度/方向的/消除干扰。 音乐(多个信号分类)具有估计期望信号的阵列和角度/方向的信号数量的能力。 ESPRIT(通过旋转不变性技术估计信号参数)用于估计多组相同双板的到达方向,提供并行处理。 本文提供了对抵达角(AOA)估计角度的比较分析和仿真,并估算了AOA估计的估计误差。 相对结果可用于实现智能天线设计中的最佳性能

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