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首页> 外文期刊>International journal of communication systems >A probabilistic-based approach for direction-of-arrival estimation and localization of multiple sources
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A probabilistic-based approach for direction-of-arrival estimation and localization of multiple sources

机译：基于概率的到达方式估算和多种来源定位的方法

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This article contributes to science at two points. The first contribution is at a point of introducing a novel direction-of-arrival (DOA) estimation method which based on subspaces methods called Probabilistic Estimation of Several Signals (PRESS). The PRESS method provides higher resolution and DOA accuracy than current models. Second contribution of the article is at a point of localizing the unknown signal source. The process of localization achieved by using DOA information for the first time. The importance of localization exists in a large area of engineering applications. The aim is to determine the location of multiple sources by using PRESS with minimum effort of computation. We used the maximum probabilistic process in this study. Initially, all the signals are collected by the array of sensors and accurately identified using the proposed algorithm. The receiver at the best in test estimates the source location using only the knowledge of the geographical latitude and longitude values of the array of sensors. Several test points with an accurately calculated angle of arrival enable us to draw linear lines towards the transmitter. The transmitter location can be accurately identified with the line of interceptions. Simulation and numerical results show the outstanding performance of both the DOA estimation method and transmitter localization approach compared with many classical and new DOA estimation methods. The PRESS localization method first tested at 19 degrees, 26 degrees, and 35 degrees with an signal-to-noise ratio (SNR) value of -5 dB. The PRESS method produced results with an extremely low bias of 0 and 0.00080 degrees. The simulation tests are repeated and produced results with zero bias, which give the exact location of the unknown source.
机译：本文有助于两分的科学。第一贡献是引入新的到达方向（DOA）估计方法，该方法基于子页面方法称为若干信号的概率估计（按）。压力机提供更高的分辨率和比当前模型的分辨率和DOA精度。物品的第二次贡献是定位未知信号源的点。通过第一次使用DOA信息实现的本地化过程。本地化的重要性存在于大面积的工程应用中。目的是通过使用新闻来确定多个来源的位置，以最小计算。我们在本研究中使用了最大的概率过程。最初，所有信号由传感器阵列收集，并使用所提出的算法准确地识别。在测试中最佳的接收器使用仅使用传感器阵列的地理纬度和经度值的知识来估计源位置。具有精确计算的到达角度的几个测试点使我们能够向发射器绘制线性线。可以使用拦截线准确地识别发射器位置。仿真和数值结果表明，与许多经典和新的DOA估计方法相比，DOA估计方法和发射机定位方法的出色性能。按压定位方法首先以19度，26度和35度进行测试，具有-5 dB的信噪比（SNR）值。压制方法产生的结果为0和0.000度极低。模拟测试重复并产生零偏置的结果，其给出了未知来源的确切位置。

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