A Real-time Imaging Method Based on Improved INS Motion Error Compensation
As an active microwave remote sensing technology for earth surface observation,synthetic aperture radar(SAR)has the characteristic of long distance illuminating under all-weather conditions day and night.By transmitting large bandwidth signals,high resolution in the range direction is obtained.The motion of the SAR platform is the basic condition for imaging,which forms a synthetic aperture through the relative motion of the platform in a stationary scene to obtain high-resolution azimuth.For airborne SAR,due to the influence of atmospheric turbulence and other factors on the image during flight,it is impossible to maintain an i-deal motion state,which inevitably leads to motion errors.Motion errors can cause phase errors and envelope movement,resulting in image defocusing.The motion compensation based on INS data is one of the important means to achieve high-resolution imaging.According to the characteristics of INS data,combined with the Kalman filtering principle and the geometric model of SAR ima-ging,an INS data filtering and resampling method based on Kalman filtering is proposed.This method can effectively eliminate the error value of motion parameters and obtain the motion parameters of the radar platform accurately.The motion compensation meth-od proposed in this article can be well combined with SAR imaging algorithms,and the accuracy and effectiveness of the method are verified by the imaging result of measured data.
万方数据
维普
