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俯冲加速阶段导弹运动状态复杂,成像范围需求大,回波处理困难的特点使得传统的成像算法难以运用.针对这一问题,本文首先建立了精确的斜距几何和回波模型,并在分析二维频谱的基础上,提出了一种基于变量解耦下的非线性变标算法,有效的补偿了随场景纵向和横向的多普勒调频率,改善了方位聚焦质量和位置的正确性,提高成像质量的同时简化了后期图像几何校正操作.多个散射点的仿真数据和结果表明了算法的有效性.
In the course of subduction acceleration, the missile’s complex motion state, large imaging range and difficulty of echo processing make the traditional imaging algorithms difficult to use.In this paper, the accurate slant geometry and echo model are established firstly, Based on the dimension spectrum, a nonlinear scaling algorithm based on variable decoupling is proposed, which can effectively compensate the vertical and horizontal Doppler modulation frequency of the scene and improve the accuracy and quality of the azimuth focusing and position The imaging quality simplifies the geometric correction of the image at the same time.The simulation data and results of multiple scattering points show the effectiveness of the algorithm.