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中文摘要：
窄带射频信号时延估计的精度往往会受到相对带宽的制约和噪声的影响.针对这一问题,提出了相关熵希尔伯特变换时延估计的定理,并结合此定理提出了一种在脉冲噪声环境下,适用于窄带射频信号的相关熵希尔伯特差值时延估计算法.该算法具有受信号相对带宽影响较小、抗噪能力较强等特点.仿真结果表明,与CCF、FLOC、lp范数等算法相比,该算法具有更好的时延估计有效性和准确度.
英文摘要：
The accuracy of time delay estimation （TDE）of narrow-band RF signals is usually affected by the relative bandwidth and noise.Accordingly,a theorem of time delay estimation based on the correntropy Hilbert transform is proposed.On the basis of this theorem,a new time delay estimation algorithm,which is applicable to narrow-band RF signals in impulse noise environments,named correntropy Hilbert subtraction time delay estimation algorithm,is proposed.The algorithm has the properties of suppressing the effect of relative bandwidth of signal and the impact of noise.Simulation results show that the proposed algorithm has higher accuracy and validity than CCF,FLOC and the lp-norm algorithms.
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