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Beam-forming and Direction of Arrivals estimation in smart antennas mounted on high velocity platform

机译:高速平台上安装的智能天线的波束形成和到达方向估计

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Smart antennas are based on digital signal processing algorithms. Any type of antenna arrays when combined with signal processor results in a smart antenna which can locate and track signals and enhance the reception in Signal of Interest (SOI) direction and minimize the interference reception in Signal Not of Interest (SNOI) direction. Smart antennas improve the performance of radar systems, automotive systems and wireless communication system. There are several algorithms for Direction of Arrivals (DOA) estimation but in this paper a subspace Multiple Signal Classification (MUSIC) algorithm has been implemented which is the most popular and accurate method for DOA estimation of antennas mounted on high velocity platforms. When the direction of incoming signal is estimated then spatial processing techniques are referred to as beam-forming require to improve the reception performance of receiving antenna array by placing a maximum beam towards the SOI and nulling the interferers towards the SNOI. Beamforming algorithm which has been implemented here is Least Mean Square (LMS) algorithm.
机译:智能天线基于数字信号处理算法。当将任何类型的天线阵列与信号处理器结合使用时,就会形成一个智能天线,该智能天线可以定位和跟踪信号并增强在感兴趣信号(SOI)方向上的接收,并最小化在不感兴趣信号(SNOI)方向上的干扰。智能天线提高了雷达系统,汽车系统和无线通信系统的性能。有几种到达方向(DOA)估计算法,但在本文中,已实现了子空间多信号分类(MUSIC)算法,这是用于安装在高速平台上的天线进行DOA估计的最流行,最准确的方法。当估计输入信号的方向时,将空间处理技术称为波束赋形,要求通过朝SOI放置最大波束并使对SNOI的干扰为零来提高接收天线阵列的接收性能。此处已实现的波束成形算法是最小均方(LMS)算法。

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