Abstract :
The time-frequency representation (TFR) is a powerful tool for analysis of non-stationary signals. In the past decades, TFRs have been primarily devoted to the analysis tasks in the sense that they were introduced so as to depict time-frequency structure of time-varying signals and non-stationary processes in the time-frequency plane. Also, there has been a permanent interest in tackling decision problems by means of TFRs. In this study the authors, present a time-frequency-based detection scheme in the high-frequency surface-wave radar (HFSWR) for the detection of manoeuvring air targets in the presence of noise. Performance of the proposed method is evaluated by using both synthetic and experimental data. In addition, the proposed time-frequency detection scheme is examined in detail with various signal-to-noise ratio. This time-frequency-based detection method is then compared to the Fourier-based detector. Results clearly demonstrate that the time-frequency-based detector can significantly improve detection performance in the HFSWR, as well as add new physical insight, compared to the conventional Fourier-based detector, currently used by HFSWRs.
