Study Of Orientation And Imaging Based On Bistatic (Multistatic) Shadow Inverse Synthetic Aperture Radar

Shadow inverse synthetic aperture radar (SISAR), a bistatic forward scattering barrier radar, can achieve orientation, shadow imaging and identification of moving object, except the function of detection. SISAR is well suitable for detecting stealth object, because the radar works in the forward scattering field of object.In the aspect of radio holographic signal (RHS), at first, two expressions of RHS are presented and simulated; the difference and relation between them are analyzed. Then the time-frequency relationship between RHS and clutter is researched and the main extracting measures of RHS are presented.The methods of fetching the feature for target recognition are presented in detail. At first the relation between plural profile imaging and RHS is analyzed, and then all kinds of main factors affecting plural profile imaging are researched. At last, the method of fetching the feature for target recognition, including profile imaging and midline phase, are presented.In the aspect of orientation and motion parameters estimation of object, a new algorithm is presented in this dissertation. This algorithm is based on multi-transmitting and multi-receiving signals. The azimuth angle of object isn't needed estimated and more expressions of RHS of the same object are needed in this algorithm. Based on increasing the points of transmitting and receiving, the different RHS for the same object are measured and the equations of the space location for object are got. A new non-linear equation is confirmed by the means of the geometrical relation between all points and the objects. All the equations can be assembled to a equational group. Then the motion parameters are estimated by rooting the equational group. At last, the stability of the algorithm is analyzed.