一种利用遗传算法的极化定标算法

由于极化合成孔径雷达发射与接收端受通道幅相不平衡、天线串扰、电磁波传播特性和系统噪声等因素影响,造成遥感数据不能反映真实目标特性。为获取目标的准确特征信息,必须对遥感数据定标。针对利用已知分布目标散射阵的极化定标问题,提出了一种基于复数纺码的遗传算法求解具有多变量、超定、非线性方程组的极化定标。文中详细分析了遗传算法及其三种实现,并通过仿真实验证实了该算法的有效性。

Approach to polarimetric calibration using generic algorithms

In practice,the channels of a polarimetric SAR system are not always perfectly isolated and do not have identical properties,thus the measurements are contaminated.Therefore,calibration is necessary to get an accurate estimate from the distorted measurement.A novel calibration approach to polarimetric SAR using distributed targets with known scattering characteristics is presented.A genetic algorithm with complex-valued encoding is proposed to solve the overdetermined system of nonlinear equations associated with the polarimetric calibration problem.The proposed three genetic algorithms are described in detail,and validation of the algorithm is performed by simulations.