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Numerical Transformation of Power Azimuth Spectrum into Normalized Doppler Spectrum

机译:功率方位角频谱到归一化多普勒频谱的数值转换

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A power azimuth spectrum (PAS) and Doppler spectrum (DS) are one of the most popular channel characteristics. The former is used to describe a dispersion of a signal reception angle. The second one illustrates the received signal dispersion in a frequency domain. Usually, estimation methods based on measurements and modeling methods for these channel characteristics are definitely different. This is due to the fact that the PAS reflect a static situation related to one or several measurement points, while the DS corresponds to a dynamic situation obtained during a movement of objects (transmitter or receiver) at a specified route. Despite these differences, a close relationship exists between these characteristics because the Doppler frequency shift is associated with the angle of arrival. In this paper, this relationship and the numerical transformation of the PAS to DS are shown. The presented transformation allows for a quick estimation of the normalized DS shape based on the measured or modeled PAS. The proposed transformation is universal and allows determining the shapes of many DSs depending on the analyzed directions of the object movement based on one PAS only.
机译:功率方位频谱(PAS)和多普勒频谱(DS)是最流行的信道特征之一。前者用于描述信号接收角的色散。第二个图例说明了接收信号在频域中的色散。通常,基于测量的估计方法和针对这些信道特性的建模方法肯定是不同的。这是由于以下事实:PAS反映了与一个或几个测量点有关的静态情况,而DS对应于在指定路线上对象(发送器或接收器)运动期间获得的动态情况。尽管存在这些差异,但由于多普勒频移与到达角相关联,因此这些特性之间仍然存在紧密的关系。在本文中,显示了这种关系以及PAS到DS的数值转换。所呈现的变换允许基于测量或建模的PAS快速估计归一化的DS形状。所提出的变换是通用的,并且允许仅基于一个PAS取决于所分析的对象运动方向来确定许多DS的形状。

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