Particle Filter for Track-before-detect of Bistatic Micro-Doppler Signatures

TFD-Hough(Time Frequency Distribution－Hough) transform is the main method of estimating parameters based on the mono- and bistatic micro-Dopplers. Firstly, the micro-Doppler models of the bistatic scattering center of the precessing warhead are given. To solve the problem of detecting the scattering centers in the parameter domain of the Hough transform, the method of particle filter based track-before-detect (PF-TBD) algorithm for detecting the micro-Doppler curves is proposed. The micro-Doppler curve in the time frequency image are regarded as the target’s moving trace, then the PF-TBD algorithm is using to track and detect the micro-Doppler curves and the curves’ parameters are extracted by Hough transform, all of the micro-Doppler curves are detected and extracted step by step. Finally, the time frequency image is obtained via the time-frequency analysis on the calculated bistatic scattering coefficients of the blunt-nosed biconical warhead model, and the micro-Doppler curves are extracted from the time frequency image using the proposed method, so the feasibility of the method is validated.