Study On SAR Confronting Deception Jamming And High Resolution Imaging

Synthetic Aperture Radar is a new type sensor with the advantage of all-weather, full-time, wide-field and high-resolution, which is widely applied for the military field and development of social economy. The electromagnetic environment SAR faced becomes more and more complex, and all kinds of interference active jamming and passive jamming has brought serious challenges for SAR. Compare with the passive jamming, the active jamming with the targeted and flexibility has been one of methods threatening SAR. As the increase of the jamming methods, it has become a important research subject for SAR anti-jamming in the military field.This paper studies the method of SAR anti-jamming and the algorithm of reconstructing anti-jamming signal based on compressive sensing. The major contents and innovation of this thesis is as follows:Firstly, introduces the background and significance of SAR, current state of SAR anti-jamming research and the development and application of compressed sensing, studies the imaging mechanism and imaging algorithm of SAR, and then proposes a approach to apply compressive sensing for SAR anti-jamming.Secondly, studies the theory and performance of SAR nonuniform in azimuth, and an accurate reconstruction algorithm based on frequency domain, builds the nonuniform PRI model of SAR based on compressive sensing, and then we compares the traditional reconstruction algorithm of nonuniform sampling with the method based on compressive sensing according to simulation experiment.Finally, builds the sparse nonuniform PRI model of SAR based on comprise sampling and nested sparse sampling, analyses the influence of sampling jitter for SAR imaging, and gives the algorithm flow chart of the sparse nonuniform sampling based on compressive sensing, the validity and the stability of the methods has been demonstrated by processing both simulated and real data.