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Channel Parameters Identification Based on IMM Algorithm for Variant Correlation Channel

机译：基于IMM算法的变相关信道信道参数识别

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摘要

In wireless communication systems, correct knowledge of the correlation of a fading channel is essential for channel estimation. Both the reliability of the estimated channel impulse response (CIR) and the adjustment of an adaptive communication system need the accurate correlation information, which is difficult to identify especially when changing. By modeling the fading channel as a hybrid dynamic system, a channel estimation algorithm based on Interacting Multiple Model (IMM) is presented with the consideration of time-variant channel correlation. Applying the IMM algorithm, the proposed channel estimator can identify the channel correlation. With the accurate information of channel correlation, the proposed algorithm is capable of performing accurate estimation on the fading wireless channel with time-variant or time-invariant correlation. Our simulations demonstrate that the IMM based channel estimation algorithm has good performance in estimating CIR as well as in identifying the channel correlation.
机译：在无线通信系统中，正确估计衰落信道的相关性对于信道估计至关重要。估计的信道脉冲响应（CIR）的可靠性和自适应通信系统的调整都需要准确的相关信息，这尤其在更改时很难识别。通过将衰落信道建模为混合动力系统，提出了基于时变信道相关性的基于交互多模型（IMM）的信道估计算法。应用IMM算法，提出的信道估计器可以识别信道相关性。利用信道相关的准确信息，该算法能够对具有时变或时不变相关性的衰落无线信道进行准确的估计。我们的仿真表明，基于IMM的信道估计算法在估计CIR以及识别信道相关性方面具有良好的性能。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第18期|137528.1-137528.11|共11页
  • 作者

    Yang Zhuo; Inoue Yiru; Wan Jian; Chen Lei;

  • 作者单位

    Natl Police Univ China, Shenyang 110854, Peoples R China.;

    Envisage Informat Syst, Ithaca, NY 14850 USA.;

    Harbin Engn Univ, Coll Informat & Commun, Harbin 150001, Peoples R China.;

    Natl Police Univ China, Shenyang 110854, Peoples R China.;

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