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Inverse synthetic aperture radar (ISAR) moving targets imaging processing is discussed in this paper. Due to the sparsity of the scene, the theory of Compressive Sensing (CS) is introduced to improve the imaging quality. Thus, super-resolution imaging is achieved. Combining real aperture with synthetic aperture, a hybrid model of imaging is proposed which allows imaging on a short radar coherent processing...
During Synthetic Aperture Radar (SAR) motion compensation processing, the residual uncompensated motion errors may degrade SAR images, and these errors mainly result from the positioning inaccuracies of the track and target. By analyzing SAR motion compensation method and the effect of the track and target positioning inaccuracies, this paper presents a model to calculate the residual uncompensated...
In order to reduce the complex image registration process for the airborne dual-antenna interferometric SAR (InSAR) system, a new auto-registration imaging algorithm is presented in the paper, which implements the registration step directly at the SAR raw data processing stage based on the EOK algorithm and the ECS algorithm. For the mismatch caused by the path difference of two antennas, it realizes...
Special attention has been devoted to the lightweight, cost effective frequency modulated continuous wave (FMCW) synthetic aperture radar (SAR) in recent years. However, FMCW SAR is not feasible in the case of wider swath or higher Doppler bandwidth, because the loss of range resolution is dramatic and the system sampling rate is high. By using the technique of multi-input multi-output (MIMO), the...
The accuracy of the digital elevation model (DEM) generated by the interferometric synthetic aperture radar (SAR) partly depends on the accuracy of system parameters, so it is necessary to calibrate the system parameters. The traditional calibration method models the elevation error as a linear function of parameter biases, and solves the biases through the sensitivity equations. This paper presents...
When using motion compensation approaches based on the measurement of motion sensors, the residual uncompensated motion errors due to measurement instrument inaccuracies contribute to phase errors and hence degrade Synthetic Aperture Radar (SAR) images. This paper presents a model to compute the phase error caused by Inertial Measurement Unit (IMU) measurement inaccuracies. By analyzing SAR motion...
A novel approach for the highly squinted airborne InSAR data processing is presented. Using the IMU data to resolve the PRF ambiguity and moving azimuth windows according to the Doppler centroid varying in the different range, as well as combining the auto-registration imaging algorithm, such approach not only can compensate the squint effect and motion error directly at the imaging processing stage,...
In airborne two-antenna interferometric SAR system, the returned pulse may be reflected by parts of the aircraft platform into the antennas, and this is called multipath effect which will cause oscillating phase errors and hence height errors. This paper presents a theoretical model to compute the multipath error. In this model the multipath phase error is a function of look angle or ideal phase,...
By analyzing mapping geometry of interferometric synthetic aperture radar, the relation between terrain slope and interferogram is explained. Then an approach which can acquire terrain slope using interferogram is presented. Results using airborne InSAR system data show validity of our algorithm. The algorithm avoids phase unwrapping and absolute phase calibration which are usually computational burden...
A technique to get real-time interferograms and coherence maps for an airborne interferometric synthetic aperture radar (INSAR) system is presented. For this purpose, Extended Chirp Scaling (ECS) auto-registration imaging algorithm is used, which realizes the registration at raw data processing stage by considering the quadratic approximation for the path difference caused by the baseline between...
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