长期演进系统中基于自适应矩阵样条内插的信道估计算法

Channel Estimation Algorithm Based on Adaptive Matrix-splineInterpolation for a Long Term Evolution System

  • 摘要: 在长期演进(LTE)系统中,为了工程上的简单实现,同时也为充分利用相邻参考信号的信息来精确估计数据子载波处的信道响应, 提出了一种自适应矩阵样条内插的插值估计方法.根据样条插值的数学理论推导出适用于下行物理信道的矩阵样条内插公式, 通过将插值区间进行分解与叠加来优化提出的插值算法,并利用相关带宽来自适应地选择分解长度.仿真结果表明,在较低工程实现复杂度的条件下, 提出的内插算法性能优于常用的多项式内插算法,而且能够动态跟踪信道的状态变化.

     

    Abstract: To simplify engineering implementation and take full advantage of adjacent reference signals to estimate the channel response at data sub-carriers exactly in the long term evolution system (LTE), an interpolation estimation algorithm based on adaptive matrix-spline interpolation is proposed. According to mathematical theory of spline interpolation, an expression of matrix-spline interpolation for downlink physical channel is deduced. The proposed algorithm is optimized by decomposing and overlapping the interpolation region, and the decomposition length is adaptively selected by correlation bandwidth. Simulation results indicate that in the condition of low engineering realization complexity, the proposed interpolation algorithm is superior to common polynomial interpolations, and can track the change of the channel state dynamically.

     

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