Paper
29 April 2009 CFAR detection and extraction of maneuvering air target in strong sea-clutter via time-frequency-based S-method
Thayananthan Thayaparan, Milos Darkovic, Ljubisa Stankovic
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thayananthan Thayaparan, Milos Darkovic, and 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); https://doi.org/10.1117/12.819361
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Signal detection

Target detection

Fourier transforms

Signal to noise ratio

Current controlled current source

Radar

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