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首页> 外文期刊>Radar, Sonar & Navigation, IET >Fourier-Bessel transform and time–frequency-based approach for detecting manoeuvring air target in sea-clutter
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Fourier-Bessel transform and time–frequency-based approach for detecting manoeuvring air target in sea-clutter

机译：基于傅里叶-贝塞尔变换和基于时频的海杂波机动目标检测方法

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摘要

In many applications, it may be desired to decompose a non-stationary signal into its individual components. If spectral components of the non-stationary signal do not overlap in the frequency domain then Fourier transform can be used to decompose the non-stationary signal. Fourier transform fails to decompose the non-stationary signal if its spectral components overlap in the frequency domain. In this study, the authors propose Fourier-Bessel transform and the time–frequency analysis in conjunction with the fractional Fourier transform (FB-TF) method for the separation of multi-component non-stationary signal whose components overlap in both time and/or frequency domains. The efficiency of the proposed method is compared with one of the traditional decomposition methods like EMD. The proposed approach is applied to both simulated and experimental radar data. Results demonstrate the effectiveness of the proposed method for non-stationary signal separation and for detecting manoeuvring target in heavy sea-clutter environments. The improvement factor and clutter attenuation are calculated and used to compare the performance of the EMD and the FB-TF methods in suppressing the sea-clutter and enhancing target detection. The proposed method can be used as a potential tool for detecting and enhancing the low observable manoeuvring air targets in the sea-clutter environment.
机译：在许多应用中，可能希望将非平稳信号分解成其各个分量。如果非平稳信号的频谱分量在频域中不重叠，则可以使用傅立叶变换来分解非平稳信号。如果其频谱分量在频域中重叠，则傅立叶变换将无法分解非平稳信号。在这项研究中，作者提出了傅里叶-贝塞尔变换和时频分析以及分数阶傅里叶变换（FB-TF）方法，用于分离分量在时间和/或方向上重叠的多分量非平稳信号。频域。将该方法的效率与传统分解方法（如EMD）之一进行了比较。所提出的方法适用于模拟和实验雷达数据。结果证明了所提出的方法对于非平稳信号分离和在海浪杂波环境中检测机动目标的有效性。计算改进因子和杂波衰减，并将其用于比较EMD和FB-TF方法在抑制海杂波和增强目标检测方面的性能。所提出的方法可以用作潜在的工具，用于检测和增强海杂波环境中的低可观测机动目标。

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