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基于分数阶傅里叶变换的多分量Chirp信号的检测与参数估计

The Detection and Parameter Estimation for Multi- component Chirp Signals Based on the Fractional Fourier Transforms

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【作者】 于凤芹曹家麟

【Author】 YU Feng-qin1,2, CAO Jia-lin1(1. School of Machine Electronic and Automation, Shanghai University, Shanghai, 200072, China)2. School of Communication and Control, Jiangnan University, Wuxi, 214036, China)

【机构】 上海大学机械电子与自动化学院上海大学机械电子与自动化学院 上海200072江南大学通信与控制学院江苏无锡214036上海200072

【摘要】 分数阶傅里叶变换是傅里叶变换的广义形式。利用Chirp信号在分数阶傅里叶变换域的特点,提出了对含有多个非平稳Chirp成分的信号在噪声中的检测与参数估计方法。理论分析和仿真结果表明,与现有的基于时间域、频率域和时频域的方法相比,该方法物理意义清楚,计算简便,无交叉项干扰,抗噪声性能强。

【Abstract】 The fractional Fourier transform is a generalization of the Fourier transform. In this paper,taking advantage of non-stationary feature of linear Chirp signal in the fractional Fourier transforms domain, the methods of detection and parameter estimation for noised multi-component Chirp nonstationary signals based on fractional Fourier transforms are proposed. Theoretic analysis and simulation results show that not only the meaning of this method is clear, but also its computation is simple, and it has no interference as well. It is good at reducing noise comparing with those in time domain or in frequency domain or in joint time-frequency domain.

【基金】 江苏省自然科学基金资助项目(BK2002068)
  • 【分类号】TN911
  • 【被引频次】17
  • 【下载频次】605
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