摘要
运动误差是造成低频超宽带合成孔径雷达成像质量降低的主要因素之一。可以结合运动补偿的成像算法(如ECS算法)由于进行了高频窄带近似,因此不适合该系统。经典的ω K算法适合低频UWBSAR成像,但不能同时进行运动补偿。文中给出了可以进行运动补偿的扩展的ω K算法,并且讨论了该算法的原理和实现方法。最后利用计算机仿真,验证了该算法的有效性。
The motion error is one of the most important factors degrading the quality of low frequency UWB SAR images. The focusing algorithm with integrated motion compensation (e.g. ECS) cannot be used for the system, because of the high frequency and narrow bandwidth approximation. The classical ω K algorithm, which is suitable for low frequency UWB SAR system, cannot be integrated with motion compensation. In this paper, the extended ω K algorithm with integrated motion compensation is proposed, and the theory and the realization of the algorithm is discussed. The computer simulation verified the validity of this method. Abstract The motion error is one of the most important factors degrading the quality of low frequency UWB SAR images. The focusing algorithm with integrated motion compensation (e.g. ECS) cannot be used for the system, because of the high frequency and narrow bandwidth approximation. The classical ω K algorithm, which is suitable for low frequency UWB SAR system, cannot be integrated with motion compensation. In this paper, the extended ω K algorithm with integrated motion compensation is proposed, and the theory and the realization of the algorithm is discussed. The computer simulation verified the validity of this method.
出处
《现代雷达》
CSCD
北大核心
2005年第2期26-28,共3页
Modern Radar