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Plausibility of assuming ideal arrays for direction of arrival estimation

机译:假设理想阵列以获得到达估计方向的合理性

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In order to fulfil the increasing demands on capacity and coverage of mobile communication systems smart or intelligent antennas have been suggested. These antennas increase the spectral efficiency of a wireless system by using arrays of antenna elements to shape RF signals in particular directions. Generally, smart antennas can be divided into two approaches: switched multi-beam and adaptive. Adaptive antennas utilize sophisticated signal processing algorithms to continuously distinguish between the desired signal, multipath and interfering signal as well as to calculate their direction of arrival (DOA). This makes it possible to smoothly track users with main lobes and interferers with nulls and thereby constantly maximizing the SINR (signal-to-interference and noise ratio). The DOA is one of the most important parameter for an adaptive antenna system to estimate. It is also the main subject of this paper. We establish whether or not it is plausible to assume the array to be ideal (which is often assumed in array signal processing theory) when the received signals are actually collected with a physical array consisting of standard folded dipoles. In doing so we first measured the element patterns (or steering vectors) of a twelve element antenna array. The results were then used in array signal processing simulations. The performance of two DOA estimation algorithms, MUSIC and ESPRIT, are studied and compared.
机译:为了满足对移动通信系统的能力和覆盖的不断增加,已经提出了智能或智能天线。这些天线通过使用天线元件阵列来提高无线系统的光谱效率,以在特定方向上形成RF信号。通常,智能天线可分为两种方法:切换多光束和自适应。自适应天线利用复杂的信号处理算法,以连续地区分所需的信号,多径和干扰信号以及计算其到达方向(DOA)。这使得可以平滑地跟踪具有用空缺的主叶片和干扰器的用户,从而不断地最大化SINR(信号 - 干扰和噪声比)。 DOA是自适应天线系统估计的最重要参数之一。它也是本文的主要主题。当接收信号实际上收集具有由标准折叠的偶极子组成的物理阵列时,我们建立是否可以假设阵列是理想的(通常在阵列信号处理理论中的常常假设)。在这样做,我们首先测量十二个元素天线阵列的元素图案(或转向矢量)。然后将结果用于阵列信号处理模拟中。研究并比较了两个DOA估计算法,音乐和ESPRIT的性能。

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