Research On Frequency Domain Imaging Algorithm Based On Two-Dimensional Spectrum For BiSAR

Compared to a single station SAR, bistatic SAR has many advantages in military applications, interference application, classification of surface features, and Marine Application areas,which a single station SAR platform do not have. So research on bistatic SAR imaging algorithm has a high value. This paper base on the basic bistatic SAR configuration, Focused on the bistatic SAR imaging algorithm problem in two-dimensional spectral. Contents of this paper can probably be categorized as the following:In the field of bistatic SAR imaging, one of the most important issues is the spectral method for solving the two-dimensional point target. On the basis of bistatic SAR echo imaging model, this paper reviews the classic two-dimensional spectral algorithm, simplifies the derivation of the EEFT4 spectral imaging algorithms and then analyze the feasibility and error.Deduced a bistatic SAR-dimensional spectrum based on orthogonal polynomials Squares Approximation. By apply the principle of the best square approximation signal processing to the commencement of the course slant range, we leave the fourth-order items. Compared with other algorithms, This algorithm has less Error accumulation from the oblique course. Compared with LBF, ILBF algorithms To verify the feasibility of the spectral imaging.Deduced An Bistatic SAR algorithm Based on a two-dimensional micro incremental spectrum. Analysis of the precision required in the practical application, the contradiction between the MSR imaging accuracy and computational complexity. And on its basis we Introduces a high-level consumer items, So that in the low-level the two-dimensional spectrum and echo spectrum case more matches, Thereby reducing the complexity of the algorithm based on the performance of the algorithm to enhance the focus, reducing the impact of higher-order residual term of imaging.Proposed a Bistatic SAR algorithm base on Micro-dimensional spectrum two-dimensional spectrum. the earlier mentioned algorithm like MSR algorithm can be controlled through expanded order to obtain the desired accuracy, But the situation is not easy to derive the existence of complex expressions, And the two-dimensional spectral-based micro-incremental algorithm analysis between low and high point of the incremental change in a given phase relationship, thus cleverly through the lower order approximate solution in a given phase point strike order phase point. On the basis of this two-dimensional spectrum, we carried away by their phase decomposition and Stolt transform variable, Resulting in an increment based on two-dimensional spectrum based micro ωk algorithm. Due to the use of the same algorithm angle ωk hypothesis, we analyzed the size of the same area, and simulation experiments to verify the feasibility of the algorithm.