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Research On Translation Compensation And Parameters Estimation For Radar Targets With Micro-motions

Posted on:2019-09-17Degree:MasterType:Thesis
Country:ChinaCandidate:X HuangFull Text:PDF
GTID:2428330611493615Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
There is a large amount of information in the micro-motion of the radar target.Micro-motion is the result of the special structure of the target and unique way of motion information.According to the micro-motion feature,the unique information of the radar target is obtained.The acquisition of the micro-motion feature of the target has become a hot topic in the field of radar target detection.In this work,we do the research on the problem of accurate translation compensation for the target with the micro-motion and translation,and the problem estimation of the precession angle in the target with the micro-motion.Two methods are developed to solve these problems.In Chapter 1,the background and significance of this research are introduced.The background and significance is summarized under four aspects: the development of radar,parameters estimation methods and research status of micro-motion,the methods of translation compensation,estimation methods of precession angle.At the end of this chapter,the contributions and arrangement are introduced.In Chapter 2,the model of micro-motion target and the modulation effect are studied.The analysis and experiments are conducted to study effects of Radar power(RCS)modulation,micro-Doppler effect modulation and high resolution range image(HRRP)modulation.In Chapter 3,a method of translational fine compensation based on periodic difference is proposed.Firstly,the micro-motion period estimation and the first-order moment estimation method are introduced.Then,the theory of the method based on periodic difference for translational fine compensation is derived.The main idea of this method is to eliminate the micro-motion signal from the coarsely compensated radar signal by using the periodic difference to perform the second translation compensation.The first step is to use the first moment of the one-dimensional image to coarsely compensate the translation of the target.The second step is to use polynomial compensation with periodic difference.Second accurate compensation is performed on the translation to achieve the effect of the leveling fine compensation.At the end of this chapter,error analysis and radar data verification were performed.In chapter 4,a method of precession angle estimation based on the ratio of strong scattering points is proposed.First,the model of precession angle estimation is simplified.Second,the method of estimating the fretting distance of the scattering center based on inverse Radon is introduced.Then,the precession angle estimation method based on the ratio of strong scattering points is introduced and deduced and extended.The idea of the algorithm is that when the cone target is precessed around the geometric center of the cone,the angle between the cone-scattering center and the cone-bottom scattering center and the geometric center is fixed.Then the ratio of the radius of the cone-top scattering center to the radius of the cone-bottom scattering center is an increasing function of the precession angle,and the precession angle can be calculated by the ratio of the radius of the cone-top scattering center to the radius of the cone-bottom scattering center.Finally,the simulation experiment and generalized experimental analysis of the algorithm are carried out,and the effectiveness of the algorithm is verified.In chapter 5,the research work and contribution of the wor and the next steps of the study and difficulties and potencial problems are presented.
Keywords/Search Tags:Micro-motion, Parameter estimations, Procession angle, Circular correlation coefficients, Translation compensation
PDF Full Text Request
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