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A Robust Instantaneous Frequency Rate Estimator Based on Cubic Phase Function

机译:基于三次相位函数的鲁棒瞬时频率估计器

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The cubic phase function (CPF) is an effective method to estimate instantaneous frequency rate (IFR) of frequency modulated signals, but it suffers from performance degradation in the presence of noise, higher-order phase (HP) and multi-component. In this paper, an IFR estimator based on summarizing the auto-terms of cubic phase function (CPF) is proposed to solve these problems. Simulation results indicate the proposed technique can not only provide a lower estimation signal-to-ratio threshold for single-component signal, but also a better rejection of cross-terms of multi-component than CPF, thus gives a higher performance of IFR estimation.
机译:立方相位函数(CPF)是一种估计频率调制信号的瞬时频率速率(IFR)的有效方法,但是在存在噪声,高阶相位(HP)和多分量的情况下,它会遭受性能下降的困扰。为了解决这些问题,本文提出了一种基于对三次相函数(CPF)的自动项进行归纳的IFR估计器。仿真结果表明,所提出的技术不仅可以为单分量信号提供较低的估计信噪比阈值,而且比CPF可以更好地抑制多分量的交叉项,从而提供了更高的IFR估计性能。

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