摘要
In this paper,based on the feature of high resolution one-dimensional range profile,two effective motion compensation methods are presented. Firstly,the processing method of stepped-frequency and the response of target moving to range profile are analyzed. Secondly,the function of range profile entropy and range profile contrast are presented for velocity compensation,and then the theory analysis,math model,and solution method are analyzed in detail. Finally,several simulation experiments are designed to prove the accuracy and effectiveness of these two methods. From the final theory analysis and simulation experiments,the conclusion can be drawn that these two methods are effective,which can get much higher velocity estimation accuracy,well real-time and easy to be used in project application. After motion compens-ation,the high resolution one-dimensional range profile will be much better than that used to be,and is used for the detection, recognition and ranging of moving targets.
In this paper, based on the feature of high resolution one-dimensional range profile, two effective motion compensation methods are presented. Firstly, the processing method of stepped-frequency and the response of target moving to range profile are analyzed. Secondly, the function of range profile entropy and range profile contrast are presented for velocity compensation, and then the theory analysis, math model, and solution method are analyzed in detail. Finally, several simulation experiments are designed to prove the accuracy and effectiveness of these two methods. From the final theory analysis and simulation experiments, the conclusion can be drawn that these two methods are effective, which can get much higher velocity estimation accuracy, well real-time and easy to be used in project application. After motion compens-ation, the high resolution one-dimensional range profile will be much better than that used to be, and is used for the detection, recognition and ranging of moving targets.
基金
Sponsored by the National Nature Science Foundation of China(Grant No.61201237)
the Nature Science Foundation of Heilongjiang Province of China(Grant No.QC2012C069)
the Fundamental Research Funds for the Central Universities(Grant No.HEUCFZ1129,HEUCF130810,HEUCF130817)
