Research On Multi-location Inverse Synthetic Aperture Radar Image Fusion Method

Although the single base station ISAR imaging radar resolution enhancement in recent years has suffered rapid development, the performance of target recognition has not improved yet. Because radar target has the occlusion problems in the single base station, under the certain radar angle, some parts of the target in the radar images are n ot visible. It leads to the difficulty of target recognition using ISAR images. However, when we get the information of the same target from different angles, available knowledge increases, and more useful target information can be extracted. To solve this problem, we can use multi-location radar to obtain target images under different angle of view, the invisible information in one ISAR image can display in some other ISAR images. If we fuse the ISAR data under the different perspectives from multi-location radar, it can strengthen the weak scattering point of an image, also can display the invisible point of a ISAR image, and can get more information to improve the target recognition. Even though each image has different resolution, but the fusion technolo gy can process the original data from multiple inverse synthetic aperture radar(ISAR). Composite image can be obtained by coordinate transformation, the data of different base stations, in other words data in different coordinate system according to the geometric relationships between them transform into the same coordinate system, and then do inverse 2-D Fourier transform in a number of separate integral area. Therefore, the research on image fusion and data fusion method, respectively, with different bas e station information of radar is of great practical significance and value.First, this paper introduces the basic knowledge of multiple stations in ISAR imaging fusion, ISAR turntable imaging principle, calculate the ISAR is like distance and lateral resolution in two dimensions, and analyzes the data domain sampling area and resolution.The most common algorithms of ISAR imaging is introduced in the paper, under the small corner from doppler(R-D) FFT algorithm.Then, using the method of component decompo sition of missile target(small single cone target and little blunt cone target) modeling, using the physical optics method to calculate the scattering field of the target, target is obtained under different attitude, different radar parameters of echo dat a, namely the turntable under the target of ISAR echo signal. This signal by R-D algorithm processing the two-dimensional ISAR image of target is obtained. The simulation results also verify the effectiveness of the missile target as to several strong point in two-dimensional plane, and various advantage under different radar angle of sight has a obvious change its strength.Finally, introduced in this paper, the key part- imaging fusion algorithm. Data fusion algorithm and image fusion algorithm for the d etail. Data fusion method is the data fields on the echo data of different base station rotating cutting operations such as translation, after the operation of the echo data conforms to the data fusion rules, different base station can be directly to the echo data together, do after inverse Fourier transform for data fusion of target two-dimensional images; Image fusion method is in the image domain by inverse Fourier change after the resolution of the size may be different and more two-dimensional ISAR image synthesis. To meet the needs of the image fusion of ISAR image to image scaling, translation, rotation, clipping, weighted average, such as image processing, image fusion result is obtained. The above two algorithms can achieve more than base station ra dar imaging fusion on the same target. From the simulation results we can see, more than single base station radar imaging radar imaging effect is good, the base station can achieve certain electromagnetic keep out part of the imaging on a target, also can strength the weaker point in the image enhancement.