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Particle Filtering for Tracking Time-Varying Dispersion Channels in OFDM Systems

机译:用于跟踪OFDM系统中时变色散信道的粒子滤波

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Orthogonal frequency-division multiplexing (OFDM) is robust against frequency selective fading due to the increase of the symbol duration. However, for mobile applications channel time-variations in one OFDM symbol introduce inter-carrier interference (ICI) which degrades the performance. This becomes more severe as mobile speed,carrier frequency or OFDM symbol duration increases.Therefore, the performance of coherent OFDM systems greatly depends on the ability to accurately estimate the effective dynamic channel. In this paper, we analyze the ICI in OFDM systems when it operate over time-varying dispersion channels, and build an auto-regressive (AR)model of the channel dynamics based on the Jakes' model. A pilot symbol aided particle filter method is presented for the estimation and tracking of the channel. Finally, simulation result shows how the proposed method would improve the performance of OFDM systems.
机译:由于符号持续时间的增加,正交频分复用(OFDM)可以抵抗频率选择性衰落。但是,对于移动应用,一个OFDM符号中的信道时变会引入载波间干扰(ICI),从而降低性能。随着移动速度,载波频率或OFDM符号持续时间的增加,这种情况变得更加严重。因此,相干OFDM系统的性能在很大程度上取决于准确估计有效动态信道的能力。在本文中,我们分析了在时变色散信道上工作的OFDM系统中的ICI,并基于Jakes模型建立了信道动力学的自回归(AR)模型。提出了一种导频符号辅助粒子滤波方法,用于信道的估计和跟踪。最后,仿真结果表明了该方法将如何提高OFDM系统的性能。

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