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Sidelobe level reduction in linear array pattern synthesis using Taylor-MUSIC algorithm for reliable IEEE 802.11 MIMO applications

机译:使用泰勒-MUSIC算法的线性阵列模式合成中的旁瓣电平降低,可用于可靠的IEEE 802.11 MIMO应用

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摘要

The concepts of array processing and smart antenna give a promising solution to the significant increase of data rates in wireless transmission systems. In this paper, we deal with the problem of designing linear antenna arrays for specific radiation properties of MIMO applications based on Direction-Of-Arrival estimation and Taylor beamforming techniques. The objectives of this paper can be summarized as to minimize the maximum sidelobe level (SLL), combined the Taylor method and MUSIC (Multiple Signal Classification) algorithm. The performance of this hybrid optimization determines how well the system is convenient for a reliable wireless communication and interference reduction. This paper will discuss the application of MUSIC algorithm for linear array antenna (4, 8 and 16 antennas) in order to estimate the Direction-Of-Arrival of various angles of elevation and azimuth.
机译:阵列处理和智能天线的概念为无线传输系统中数据速率的显着提高提供了一个有前途的解决方案。在本文中,我们解决了基于到达方向估计和泰勒波束成形技术针对MIMO应用的特定辐射特性设计线性天线阵列的问题。本文的目标可以归纳为将泰勒方法和MUSIC(多信号分类)算法相结合,以最小化最大旁瓣电平(SLL)。这种混合优化的性能决定了系统对于可靠的无线通信和减少干扰的便利程度。本文将讨论MUSIC算法在线性阵列天线(4、8和16天线)中的应用,以便估计各种仰角和方位角的到达方向。

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