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小数时延补偿算法的设计及应用

Design and Application of a Fractional Delay Compensation Algorithm

  • 摘要: 小数时延补偿是数字信号处理中的一个难点,在VLBI、阵列信号处理和其它应用领域有多种实现方法。比较了几种常用的时延补偿方法:频域补偿法、基于最小均方误差准则滤波法、拉格朗日(Lagrange)插值法和基于Farrow结构的滤波器组的方法,得到的结论是相对于频域补偿法和其他时域补偿的方法,Lagrange插值法具有操作简单、易于实现、适用范围广的优点,而采用Farrow结构对时延变化的控制能力会更强。采用Farrow结构与Lagrange插值相结合能够获得比较理想的插值效果。详细介绍了基于Farrow结构的Lagrange插值滤波器组的设计及在遥测阵信号处理中的应用,并与已有的频域补偿方法作了比较。

     

    Abstract: Fractional delay compensation is very important in digital signal processing. In this paper, several compensation methods are discussed, including the least-squares filtering, Lagrange interpolation, and filter groups based on the Farrow structure. We conclude after simulations that the Lagrange interpolation method has the advantage of concision, easy implementation, and wide adaptability. On the otherhand, the Farrow structure is a powerful way to control delay variation. It is more effective to combine the Farrow structure with the Lagrange interpolation. We present the details of the design of filter groups of the Farrow structure based on the Lagrange interpolation. We implement the combined method for processing the telemetry signals from the Mars Express mission and compare the results to those of the traditional frequency-domain compensation method.

     

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