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.
Advances in applications of radar micro-Doppler signatures
Micro-Doppler signatures have been widely applied in civilian and military uses, In the paper, an overview of recent advances in extractions and applications of radar micro-Doppler signatures is presented, including recognition of space, air, and ground targets, combined micro-Doppler with range-Doppler features, through-wall micro-Doppler signatures, multistatic micro-Doppler signatures, decomposition of micro-Doppler signatures, and detection and extraction of micro motions in human body, such as heart beats and respirations.
Rotating center estimation for inverse synthetic aperture radar imaging
The estimate of the rotational center of a rotating object is quite important when estimating the rotational velocity.This paper presents a method to suppress the affect of motion through resolution cells to provide well-focused imaging results for the target being imaged by inverse synthetic aperture radar (ISAR) with large aspect angles.The system forms two range-Doppler images by equally dividing all the received echoes,then estimates the rotational velocity and the rotating center by tracking the position changes of more than three scattering centers.Simulations demonstrate the necessity of the rotating center estimates and the effectiveness of the current method.