29 April 2009 CFAR detection and extraction of maneuvering air target in strong sea-clutter via time-frequency-based S-method
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Abstract
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.
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Thayananthan Thayaparan, Milos Darkovic, Ljubisa Stankovic, "CFAR detection and extraction of maneuvering air target in strong sea-clutter via time-frequency-based S-method", Proc. SPIE 7308, Radar Sensor Technology XIII, 730818 (29 April 2009); doi: 10.1117/12.819361; https://doi.org/10.1117/12.819361
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