Translational motion compensation of ballistic target based on radon transform
Ballistic target translational motion compensation is beneficial to motion parameter extraction. Aiming at the problem of multiple scattering points translational motion compensation, an algorithm is proposed to extract the translational motion parameters of ballistic targets based on using the projection transform of the whole micro-frequency curve by Radon transform in this paper. First, establishing and analyzing the typical ballistic target model and the expressions of scattering points' micro-frequency are solved. Second, target signal is pre-compensated based on radar information and time-frequency transform. And Radon transform is applied to the parameter projection of time-frequency curve. Then translational motion parameters are estimated based on minimum entropy criteria and gauss fitting. Finally, translational motion is compensated by making use of the estimated motion parameters. Simulation results verify the validity of the proposed algorithm.
Translation Compensation and Micro-Doppler Extraction of Ballistic Target in Midcourse
The high velocity translation of ballistic targets will subject Micro-Doppler to translation,slope and fold.To compensate the translation of ballistic targets,a method based on Doppler extremum is proposed.Mathematics of Doppler extremum is derived on the basis that translation is approximated to a polynomial motion and the micro-motion is equivalent to a coning motion.Translation is compensated and micro-Doppler is extracted according to the parameters estimated by LS parameter identification method.Simulation results indicate that micro-Doppler can be effectively extracted through translation compensation method in the paper.
Signal Decomposition of Micro-Doppler Signatures
The micro-Doppler effects detection, estimation, and removal are analyzed in this chapter. Since the most common form of the micro-Doppler signal is a sinusoidal modulated one, a simple technique for its analysis, based on the inverse Radon transform is presented. A method for period estimation is presented as well. The presented method is important for the micro-Doppler analysis itself, as well as for the technique based on the inverse Radon transform. In addition, it is shown that a general micro-Doppler form can be separated from the rigid body, by using TF analysis and the L-statistics. Finally, the micro-Doppler effect in high noise environments is analyzed by using the Viterbi algorithm.