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引用次数: 0

摘要

假设源在观测期间是静止的,利用平面阵列估计点的到达方向是很容易理解的。在本文中,我们将依赖于这种强假设的每一种技术归类为常规方法。人们提出了许多方法来估计方位角和仰角对。如果我们离开这个假设,让源在观测窗口期间移动,那么方位角和仰角参数现在是时变的。在这种情况下,额外的参数,如角速度在方位角和仰角也可以估计。额外的参数可以提供更准确的信息,以帮助预测物体的下一个位置。通常,当感兴趣的参数数量增加时(就像这里的情况一样),问题的复杂性也会增加。在这种情况下,我们总是寻找降低计算复杂性的技术。有时,复杂性的降低以变换、旋转或天线阵列几何形状的形式出现。在本演示中,我们使用一种特殊的天线阵列结构来降低计算复杂度并估计感兴趣的平面阵列参数。
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DOAV Estimation Using Special Antenna Array Structure
Estimating the Direction of Arrival of a point using a planar array is well understood when the source is assumed stationary during the observation interval. In this paper, we classify every technique that relies on this strong assumption as a conventional approach. Many techniques have been proposed to estimate the azimuth and elevation angles pair. If we move away from this assumption and let the source move during the observation window, the parameters azimuth and elevation are now time-varying. In this case, additional parameters such as angular velocities in azimuth and elevation can also be estimated. The additional parameters can provide more accurate information to help predict the next position of the object. Often when the number of parameters of interest increases, as is the case here, the complexity of the problem also increases. In this situation, we always look for techniques to reduce computational complexity. Sometimes the reduction in complexity comes in the form of transformation, rotation, or antenna array geometry. In this presentation, we use a special antenna array structure to reduce computational complexity and estimate the planar array parameters of interest.
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