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A Jakes' Channel Simulation Based on 2-Dimensional Channel Model

机译:基于二维信道模型的Jakes信道仿真

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摘要

A Gaussian random process with a given power spectral density (PSD) function can be modeled as a sum of sinusoids (SOS), and has been widely used to simulate Rayleigh-fading communication channels. In practice, a finite number of sinusoids can be used to approximate a Gaussian process, which reduces complexity. For this reason, the method of sum of sinusoids (SOS) to simulate fading channel has been extensively investigated. In [11], the method of SOS is studied in more detail and several approaches to determining the sinusoidal frequencies are developed. The very popular Jakes' channel simulation model calculates the frequencies of the sinusoids based on a physical channel model with uniformly distributed scatterrers around a circle. The conventional one-dimensional (1-D) channel model cannot capture the spatial correlation of shadowing processes. Here we develop a two- dimensional (2-D) SOS-based channel model to simulate the shadowing process.
机译:具有给定功率谱密度(PSD)函数的高斯随机过程可以建模为正弦和(SOS),并且已被广泛用于模拟瑞利衰落通信信道。在实践中,可以使用有限数量的正弦曲线来近似高斯过程,从而降低了复杂性。因此,已经广泛研究了正弦和(SOS)模拟衰落信道的方法。在[11]中,对SOS的方法进行了更详细的研究,并开发了几种确定正弦频率的方法。十分流行的Jakes通道仿真模型基于物理通道模型计算正弦波的频率,该物理通道模型具有围绕圆均匀分布的散射体。常规的一维(1-D)通道模型无法捕获阴影过程的空间相关性。在这里,我们开发了一个基于二维(2-D)SOS的通道模型来模拟阴影过程。

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