相关峰插值的二次相关锐化时延估计方法

发布时间：2018-04-22 03:16

  本文选题：时延估计 + 线性调频Z变换　； 参考：《信号处理》2014年10期

【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]:As a kind of target location technology, time delay estimation is widely used in various fields, but its estimation accuracy will be affected by various factors, so the accuracy of location is limited. Therefore, a high precision time delay estimation method is proposed to solve the problem of sampling rate limitation and noise effect. It is improved by quadratic correlation and Hilbert difference based on the exact interpolation method of correlation peak. The simulation results show that this method can not only improve the resolution of correlation function on the basis of the existing sampling rate, but also have strong anti-noise performance and peak detection ability. It can obtain quite accurate delay value in high signal-to-noise ratio (SNR) environment, and improve the performance of delay estimation in low signal-to-noise ratio (SNR) environment. Therefore, the proposed algorithm is an effective method for accurate time delay estimation.
【作者单位】： 燕山大学信息科学与工程学院;
【分类号】：TN911.7
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本文编号：1785355