Abstract. Signal parameter estimation is a common process in the sphere of radar signal processing. For the widely used chirp signal, the estimation of pulse width is essential in applications of signal reconnaissance, passive radar, anti-jamming, and others. An efficient pulse width estimation method for multi-component chirp signal is proposed. Different from the conventional pulse width estimation methods based on short-time time-frequency analysis, the proposed method extracts the time-varying signal feature via integration decomposition. In the proposed method, the amplitude history (AH) curve, which presents the temporal distribution of signal energy, is generated based on the intermediate data of the fractional Fourier transform integration. Then a detector is provided to locate the start and end positions of the chirp signal component in the AH curve. Monte Carlo experiments under different conditions verify the noise robustness and computational efficiency of the proposed method. In general, the proposed method provides a new perspective for extracting the time-varying feature of the signal component, and it is a useful reference for future investigations concerning integration decomposition.

中文翻译：

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基于分数阶傅里叶变换积分分解的多分量线性调频信号脉宽估计

摘要。信号参数估计是雷达信号处理领域的一个常见过程。对于广泛使用的线性调频信号，脉冲宽度的估计在信号侦察、无源雷达、抗干扰等应用中是必不可少的。提出了一种有效的多分量线性调频脉冲宽度估计方法。与传统基于短时时频分析的脉宽估计方法不同，该方法通过积分分解提取时变信号特征。在所提出的方法中，表示信号能量的时间分布的幅度历史（AH）曲线是基于分数傅立叶变换积分的中间数据生成的。然后提供一个检测器来定位 AH 曲线中线性调频信号分量的开始和结束位置。不同条件下的蒙特卡罗实验验证了所提出方法的噪声鲁棒性和计算效率。总的来说，所提出的方法为提取信号分量的时变特征提供了一个新的视角，为未来有关积分分解的研究提供了有益的参考。