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MUSIC and improved MUSIC algorithm to estimate direction of arrival

机译:MUSIC和改进的MUSIC算法来估计到达方向

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The DOA estimation in array signal processing is one of the important and emerging research area. The effectiveness of this direction of arrival estimation greatly determines the performance of smart antennas. It works on the digitized output from each sensor array. The estimation results for coherent signals, broadband signals and multiple signals are of greater consideration. Various information of the parameters relating to a particular wave can be obtained by analyzing the incoming wave that is received by a sensor or an array of sensors. The accuracy in the estimation of direction of arrival is very crucial in array signal processing. DOA estimation has vital applications in radar, sonar, seismology, earthquake, astronomy, biomedicine and communication. This paper presents an overview of direction of arrival estimation using the MUSIC algorithm. This algorithm is a peak search method to estimate the arrival angle. The paper emphasizes on the factors that can affect the results of the estimation process and describes the concept of estimating the arrival angle. The MATLAB simulations shown here highlight the factors that can improve accuracy. The factors include the array element spacing, number of array elements, number of snapshots and the signal incidence angle difference. Attempts are made to bring about better resolution and contrast. As the conventional MUSIC algorithm is found to have less efficiency for coherent signals, better simulations using an improved MUSIC algorithm in provided in this paper.
机译:阵列信号处理中的DOA估计是重要且新兴的研究领域之一。到达方向估计的有效性在很大程度上决定了智能天线的性能。它适用于每个传感器阵列的数字化输出。对于相干信号,宽带信号和多个信号的估计结果更为重要。可以通过分析由传感器或传感器阵列接收的入射波来获得与特定波有关的参数的各种信息。到达方向估计的准确性在阵列信号处理中非常关键。 DOA估计在雷达,声纳,地震,地震,天文学,生物医学和通信中具有至关重要的应用。本文概述了使用MUSIC算法的到达方向估计。该算法是一种估计到达角的峰值搜索方法。本文重点介绍了可能影响估计过程结果的因素,并描述了估计到达角的概念。此处显示的MATLAB仿真突出显示了可以提高精度的因素。这些因素包括阵列元件的间距,阵列元件的数量,快照的数量和信号入射角的差异。试图带来更好的分辨率和对比度。由于发现传统的MUSIC算法对相干信号的效率较低,因此本文提供了使用改进的MUSIC算法进行更好的仿真。

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