Synthetic Aperture Radar Imaging Algorithm Research

Synthetic aperture radar (SAR) is an active microwave sensor, which can produce high resolution images, avoid light and weather related limitations and operate any time of day. These distinguished properties have led to SAR widely and increased use in automatic target recognition, object surveillance and related fields. So it is of great theoretical and application value to research the synthetic aperture radar's image algorithmsIn this thesis, focused on the study of SAR, the main contributions are as follows:(1) Two-dimensional imaging processing software based on FFT is accomplished. A series of tests are finished. Experimental results show that the resolutions of cross-range and range profile are less than 0.5m.(2) The influence of coherent return signal on the performance of MUSIC algorithm is studied. MUSIC algorithm based on forward smoothing technology is applied to achieve high resolution DOA estimation to coherent return signals. Experimental results illustrate the correction and effectiveness of the method.(3) For the present of sampling position error, FOC-MUSIC method is applied, and the robust performance is achieved, and FOC-MUSIC method is better than MUSIC algorithm based on forward smoothing technology.