相关峰插值的二次相关锐化时延估计方法

Second correlated and sharpen the correlation peak interpolation time delay estimation method

  • 摘要: 时延估计作为一种目标定位技术广泛应用于各种领域,而其估计精度却会受到各种因素的影响,使得定位的准确度受限。因此,本文主要针对采样率受限和噪声影响等问题,提出了一种高精度的时延估计方法。它以相关峰精确插值法为基础,利用二次相关和希尔伯特差值进行改进。仿真结果表明,该法不仅可以在已有采样率的基础上提高相关函数的分辨率,而且还具有较强的抗噪声性能和峰值检测能力。它在高信噪比环境下可以得到相当精确的时延值,在低信噪比环境下时延估计性能改善显著。因此,本文所提的算法是一种能精确进行时延估计的有效方法。

     

    Abstract: Time delay estimation as a target location technology has been widely applied in all sorts of fields. However, its estimation precision was affected by various factors and then this limited the accuracy of location. Therefore, this article mainly aimed at limited sampling rate and noise effect, put forward a kind of high accuracy time delay estimation algorithm. The algorithm on the basis of the correlation peak precise interpolation method, used second correlation and Hilbert difference to improve itself. The simulation results show that this algorithm not only improves the resolution of correlation function but also has strong anti noise performance and peak detection ability. It can get fairly accurate time delay estimation value under high SNR environments and can improve time delay estimation performance significantly under low SNR environments. Therefore, the algorithm proposed by this paper is a kind of effective method to estimate time delay accurately.

     

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