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首页> 外文会议>Conference on radar sensor technology XIII; 20090413-15; Orlando, FL(US) >CFAR detection and extraction of maneuvering air target in strong sea-clutter via time-frequency based S-method
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CFAR detection and extraction of maneuvering air target in strong sea-clutter via time-frequency based S-method

机译：基于时频的S方法对强海浪中机动目标的CFAR检测与提取

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摘要

In this paper, we present a time-frequency-based detection scheme for the high-frequency surface-wave radar (HFSWR) for the detection of maneuvering air targets in the presence of strong sea-clutter. The performance of the proposed method is evaluated using both synthetic and experimental data. In addition, the proposed time-frequency detection scheme is examined in detail with different signal-to-noise ratio and various examples are considered. The time-frequency-based detection method is then compared with the Fourier-based detector. Results clearly demonstrate that the time-frequency-based detector can significantly improve the detection performance of the HFSWR and add considerable physical insight over what can be achieved by conventional Fourier-based detector currently used by HFSWRs. These results distinctly suggest that the Fourier-based detector is optimal for stationary signals, whereas the Time-Frequency-based detector is optimal for non-stationary signals.
机译：在本文中，我们提出了一种基于时频的高频表面波雷达（HFSWR）检测方案，用于在强海浪干扰下检测机动目标。使用合成和实验数据评估了所提出方法的性能。另外，以不同的信噪比详细研究了所提出的时频检测方案，并考虑了各种示例。然后将基于时频的检测方法与基于傅立叶的检测器进行比较。结果清楚地表明，基于时频的检测器可以显着改善HFSWR的检测性能，并为HFSWR当前使用的传统基于傅立叶的检测器所能实现的工作增加相当大的物理洞察力。这些结果清楚地表明，基于傅立叶的检测器最适合于平稳信号，而基于时频的检测器最适合于非平稳信号。

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