26 October 2013 Ballistic missile precession frequency extraction by spectrogram's texture
Author Affiliations +
Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 891815 (2013) https://doi.org/10.1117/12.2032168
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
In order to extract precession frequency, an crucial parameter in ballistic target recognition, which reflected the kinematical characteristics as well as structural and mass distribution features, we developed a dynamic RCS signal model for a conical ballistic missile warhead, with a log-norm multiplicative noise, substituting the familiar additive noise, derived formulas of micro-Doppler induced by precession motion, and analyzed
time-varying micro-Doppler features utilizing time-frequency transforms, extracted precession frequency by measuring the spectrogram’s texture, verified them by computer simulation studies. Simulation demonstrates the excellent performance of the method proposed in extracting the precession frequency, especially in the case of low SNR.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Longlong Wu, Longlong Wu, Shiyou Xu, Shiyou Xu, Gang Li, Gang Li, Zengping Chen, Zengping Chen, "Ballistic missile precession frequency extraction by spectrogram's texture", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 891815 (26 October 2013); doi: 10.1117/12.2032168; https://doi.org/10.1117/12.2032168

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