弹载SAR系统参数优化设计方法

通过建立弹载合成孔径雷达(synthetic aperture radar, SAR)系统参数优化设计数学模型,提出了一种基于遗传算法(genetic algorithm, GA)的弹载SAR系统参数优化设计方法,解决了弹载SAR系统在确定弹道和多个系统指标非线性约束条件下的系统参数优化设计问题。该方法能够在满足系统指标(分辨率、幅宽、数据率、噪声等效后向散射系数等)要求的前提下,快速获取使图像性能最优的系统参数。同时,该方法还适用于方位向多波位模式的系统参数优化设计。基于典型工作参数的仿真实验验证了该方法的有效性。

Parameter optimization design method of missile-borne SAR system

By establishing a mathematical model for parameter optimization design of the missile-borne synthetic aperture radar (SAR), a parameter optimization design method for missile-borne SAR based on the genetic algorithm is proposed, which solves the problem of the system parameter optimization design for the missile-borne SAR under the condition of definite trajectory and multiple nonlinear constraints. This method can quickly obtain the system parameters which make the image performance optimal on the premise of meeting the requirements of the system indexes (resolution, width, data rate, noise equivalent backscatter coefficient, etc.). Meanwhile, this method is also applicable to the system parameter optimization design of multiple azimuth beam position modes. Simulation experiments based on the typical working parameters show the effectiveness of the proposed method.