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.
Research on the Influence of Acceleration on Micro-Doppler and Its Compensation
Micro-Doppler provides a new feature for radar target recognition while the acceleration affects the extraction of micro-Doppler information.Under the case of micro-Doppler modulation induced by a cone-shaped target's wobble,the influence of acceleration on micro-Doppler is studied,and two methods,the peak one based on frequency spectrum and the template one based on time-frequency spectrum,are proposed to compensate the acceleration as well as the comparison between them.The simulating result shows that the two methods can effectively compensate the acceleration.
Radar methods of detection of human breathing and heartbeat
Methods of extracting information from observations of human subjects by short-range radars with various types of probing signals are theoretically analyzed. The time and frequency features of breathing and heartbeat realizations obtained by different demodulation methods from monochromatic and video-pulse probing signals are considered. Algorithms for discrimination of signals reflected by human objects from interfering reflections from local objects are modeled for continuous probing signals with stepwise frequency modulation.