HT of ChoiWilliams CW BornJordan BJ WignerVille WV smoothed pseudo WV SPWV

Ht of choiwilliams cw bornjordan bj wignerville wv

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HT of Choi–Williams (CW), Born–Jordan (BJ), Wigner–Ville (WV), smoothed pseudo WV (SPWV), Zao–Atlas–Marks (ZAM) distributions and spectrogram (SP) have almost equal possibilities of detecting FM signals. For 2 χ ≤ these transforms give spread double peak. Conclusions Reliable detection and recognition acoustic signals of UAV in the presence of other signals can be implemented due to complication of signal processing algorithms. Proposed algorithm for processing multicomponent nonstationary signals of acoustic emission of UAV has two stages. First consists of obtaining TFD of input signal and second of its transforming from time-frequency to parameter space. Coordinates of peaks will give estimates of signal parameters. Applying HT give possibility to detect weak signals buried in noise. For stationary signals HT and FT give the same results. References Barbarossa, S. and Lemoine, O. (1996) Analysis of nonlinear FM signals by pattern recognition of their time- frequency representation. IEEE Signal Process. Lett ., 3 (4) pp. 112–115. Boashash, В. (2003) Time-frequency signal analysis and processing. A comprehensive reference. Cexus, J.-C., Boudraa, A. and Bouchikhi, A. (2010) Teager–Huang and Hough transform for LFM signals detection . IEEE ISCCSP , pp. 1–5. Ferguson, B. G. and Quinn, B. G. (1994) Application of the short-time Fourier transform and the Wigner- Ville distribution to the acoustic localization of aircraft. Acoust. Soc. Am , 96 (2) pp. 821–827. Kaneva, K. and Li, Z. (2014) Multiple LFM signals detection method based on pseudo–Wigner–Ville distribution and binary integration of Hough transform. Proceedings of the International MultiConference of Engineers and Computer Scientists , (2) pp. 12–14. Massey, K. and Gaeta, R. (2010) Noise measurements of tactical UAVs. 16th AIAA 2010-3911/CEAS Aeroacoustics Conference , pp. 1–16. Pham, T. and Srour, N. (2004) TTCP AG-6: Acoustic detection and tracking of UAVs. U.S. Army Research Laboratory. Proc. of SPIE , (17) pp. 24–29. Rangayyan, R. and Krishnan, S. (2001) Feature identification in the time-frequency plane by using the Hough–Radon transform. Pattern Recognition , (34) pp. 1147–1158. Sadasivan, S., Gurubasavaraj, M. and Sekar S. (2001) Acoustic signature of an unmanned air vehicle – exploitation for aircraft localisation and parameter estimation. Еronautical DEF SCI , 51 (3) pp. 279–283. Sinibaldi, G. and Marino, L. (2013) Experimental analysis on the noise of propellers for small UAV. Applied Acoustics , (74) pp. 79–88. Wang, D., Fan, J., and Li, Y. (2012) A detection and parameter estimation method of multicomponent LFM signals based on reassigned S–Hough transform. Convergence Information Technology , (7) pp. 29–37. Zelnio, A. M. (2007) Detection of small aircraft using an acoustic array. Thesis. B. S. Electrical Engineering, Wright State University .
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